{"owner":{"name":"Nagabhushana Raju S","headline":"Engineer","shortIntro":"I build with code, learn by making, and care about how the finished thing works for people.","profilePhotoUrl":"/profile/profpik.jpeg","introVideoUrl":"","geometricAvatarNote":"Three.js profile stage, motion-rich portfolio surfaces, and hologram-face experiments.","phone":"+91 6366434441","availability":"Open to AI Engineer roles, product engineering, and frontend + AI collaborations. Preferred locations: Bengaluru, Hyderabad, Pune, Gurgaon, Noida. Remote if the offer is right.","initials":"NR","role":"Engineer","tagline":"I build with code, learn by making, and care about how the finished thing works for people.","location":"Mysuru, Karnataka, India","preferredLocations":["Bengaluru","Hyderabad","Pune","Gurgaon","Noida"],"relocationNote":"Remote: open if the offer is right."},"projects":[{"id":"project-01","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Multimodal AI for Early Disease Detection","description":"A research prototype exploring how medical images, patient context, and clinical text can be combined for early disease-detection workflows.","ytDemoUrl":"","tags":["Python","Machine Learning","ResNet","BERT","Healthcare AI","Data Fusion"],"status":"active","priority":10,"number":"01","summary":"A multimodal disease-detection prototype recognized with second prize at MIT Mysore's Project Expo.","impact":"Received second prize for Multimodal AI Disease Detection at the Department of CSE (Data Science), MIT Mysore Project Expo.","stack":["Python","Deep Learning","ResNet","BERT","Healthcare AI","Data Fusion"],"color":"#3af2d4","date":"Jun 2025 - Present","github":"https://github.com/NagabhushanaRajuS","live":"","images":[],"caseStudy":{"context":"The project was developed from June 2025 as a research-heavy attempt to combine medical images, electronic health records, genetic information, and symptoms rather than treating diagnosis as a single-input prediction problem.","contribution":["Defined a multimodal disease-detection workflow spanning medical images, electronic health records, genetic information, and patient-reported symptoms.","Structured deep-learning feature extraction and data fusion as separate stages so each modality can be evaluated before fusion.","Prepared the research-heavy system as a demonstrable Project Expo submission."],"architecture":[{"id":"disease-inputs","label":"Modality inputs","responsibility":"Collects medical images, health records, genetic information, and symptom signals.","connectsTo":["disease-encoders"]},{"id":"disease-encoders","label":"Feature encoders","responsibility":"Extracts modality-specific representations with deep-learning models.","connectsTo":["disease-fusion"]},{"id":"disease-fusion","label":"Fusion layer","responsibility":"Combines the modality representations into one prediction context.","connectsTo":["disease-output"]},{"id":"disease-output","label":"Detection output","responsibility":"Presents the early-detection result for review in the project workflow.","connectsTo":[]}],"decisions":[{"decision":"Fuse multiple modalities instead of relying on one source","reason":"The project targets patterns that can be missed when images, records, genetics, or symptoms are evaluated alone.","tradeoff":"The system depends on aligned, representative data across modalities and is harder to validate than a single-input model."},{"decision":"Keep modality processing separable before fusion","reason":"Separate encoders make each input path easier to inspect and replace.","tradeoff":"The pipeline has more interfaces and synchronization work than one end-to-end input path."}],"limitations":["The available evidence verifies Project Expo recognition, not clinical accuracy, safety, or deployment readiness.","No public clinical benchmark, model card, or patient-facing deployment is linked."],"proofIds":["cert-14"]}},{"id":"project-08","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"COGNO - FocusFlow Nexus","description":"Journaling, wellness chat, fitness coaching and productivity were separate tools with no shared context, so nothing could reason across them.","ytDemoUrl":"","tags":["Multi-Agent AI","React","TypeScript","PostgreSQL"],"status":"active","priority":9,"number":"","summary":"A multi-agent AI wellness platform unifying journaling, wellness chat, fitness coaching and productivity behind five specialised agents.","impact":"Built a full-stack multi-agent platform with a seven-provider AI orchestrator that retries and falls back automatically, plus a fully offline deterministic mode, real-time MediaPipe pose coaching and a Three.js command-centre dashboard. Capstone for Google and Kaggle's AI Agents intensive.","stack":["React","TypeScript","Node.js","PostgreSQL","Drizzle","Gemini 2.5 Flash","Three.js"],"color":"#35a6ff","date":"2026-07","github":"","live":"","images":[],"caseStudy":{"proofIds":[]}},{"id":"project-07","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Open Source Contribution to Keras","description":"A silent-failure bug in Keras where invalid class_weight dictionary keys were ignored instead of raising, masking real bugs in user training code.","ytDemoUrl":"","tags":["Open Source","Keras","Python","Deep Learning"],"status":"active","priority":9,"number":"","summary":"Keras contributor with a merged class_weight fix and active PyDataset and preprocessing pull requests.","impact":"Keras contributor: PR #23221 merged a class_weight validation fix; PRs #23362 and #23440 extend PyDataset and preprocessing reliability.","stack":["Python","Keras 3.x","TensorFlow","Git"],"color":"#d00000","date":"2026-07","github":"https://github.com/keras-team/keras/pull/23221","live":"","images":[],"caseStudy":{"proofIds":["cert-19"]}},{"id":"project-09","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Ekathvam-OmniSwarm","description":"Coordinating specialist AI agents without a single point of failure, and proving the coordination actually worked rather than asserting it.","ytDemoUrl":"","tags":["Multi-Agent","MCP","Cerebras","Next.js"],"status":"active","priority":8,"number":"","summary":"An MCP-native self-healing multi-agent orchestration swarm on Gemma 4 31B via Cerebras, with live performance telemetry.","impact":"Built an MCP-native self-healing agent swarm on Gemma 4 31B running on Cerebras WSE-3, with a twin-engine architecture: a Next.js swarm visualiser with a throughput HUD plus a standalone Python CLI for local verification, client-side encryption and a DPDP Act 2023 aligned erasure path.","stack":["Next.js","Python","Gemma 4 31B","Cerebras Cloud","MCP"],"color":"#7de3ff","date":"2026-06","github":"","live":"","images":[],"caseStudy":{"proofIds":["cert-21"]}},{"id":"project-02","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Real-Time Sign Language Interpreter","description":"A multi-modal interpretation system that streams sign-language analysis into a responsive browser UI with realtime visual feedback.","ytDemoUrl":"","tags":["Python","Computer Vision","JavaScript","MediaPipe","Real-Time Processing","AI"],"status":"active","priority":9,"number":"02","summary":"Live computer-vision interpretation wired into an interface that feels immediate instead of academic.","impact":"Combined computer vision, live processing, and frontend overlays into a system built for realtime interaction.","stack":["Python","Computer Vision","JavaScript","MediaPipe","Real-Time Processing","AI"],"color":"#ff8b57","date":"Jun 2024 - Feb 2025","github":"https://github.com/NagabhushanaRajuS","live":"","images":[],"caseStudy":{"context":"Built from June 2024 to February 2025 as a webcam-based communication prototype using a decoupled Python backend and a JavaScript presentation layer.","contribution":["Built a decoupled FastAPI and WebSocket backend to process a live webcam feed without coupling inference to the browser rendering loop.","Integrated MediaPipe Holistic tracking for face, hand, and pose landmarks and a pre-trained Caffe DNN for the facial-analysis module.","Implemented a One-Euro Filter in Python to reduce temporal landmark jitter.","Streamed processed results to a JavaScript frontend with landmark and status overlays."],"architecture":[{"id":"sign-camera","label":"Camera stream","responsibility":"Captures the live webcam frames used by the perception pipeline.","connectsTo":["sign-api"]},{"id":"sign-api","label":"FastAPI gateway","responsibility":"Coordinates frame processing and WebSocket delivery.","connectsTo":["sign-perception","sign-filter"]},{"id":"sign-perception","label":"Perception modules","responsibility":"Runs MediaPipe landmark tracking and the Caffe facial-analysis model.","connectsTo":["sign-filter"]},{"id":"sign-filter","label":"Temporal filter","responsibility":"Applies One-Euro smoothing before the results reach the interface.","connectsTo":["sign-ui"]},{"id":"sign-ui","label":"Browser UI","responsibility":"Renders the streamed feed, landmarks, and dynamic overlays.","connectsTo":[]}],"decisions":[{"decision":"Separate backend perception from frontend rendering","reason":"The browser can remain responsive while Python coordinates the computer-vision workload.","tradeoff":"WebSocket transport introduces connection lifecycle and synchronization work."},{"decision":"Apply temporal smoothing before rendering landmarks","reason":"Raw frame-to-frame landmark movement produced visible jitter.","tradeoff":"Smoothing can add latency and requires tuning for fast gestures."}],"limitations":["No public latency, recognition-accuracy, or accessibility benchmark is linked.","The facial-analysis module uses a pre-trained classification model and is presented as a prototype component, not an identity or medical system."],"proofIds":[]}},{"id":"project-03","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Resume Studio — AI Resume Grader","description":"A public resume workstation for ATS grading, optional job matching, grounded AI rewriting, and LaTeX plus PDF export.","ytDemoUrl":"","tags":["Next.js","TypeScript","Prompt Design","NVIDIA NIM","LaTeX"],"status":"active","priority":8,"number":"03","summary":"Grades and upgrades a visitor's resume without turning the portfolio into a generic utility dashboard.","impact":"Combines local document parsing, deterministic ATS checks, consent-gated AI rewriting, and independent export paths in one focused product.","stack":["Next.js","TypeScript","Prompt Design","NVIDIA NIM","LaTeX"],"color":"#7c6bff","date":"2026","github":"https://github.com/NagabhushanaRajuS","live":"/resume-studio","images":[],"caseStudy":{"context":"Built as a standalone live project so visitors can grade and upgrade their own resumes without distracting from the portfolio's core hiring narrative.","contribution":["Implemented role-description analysis with keyword matching, ATS checks, and a transparent fit score.","Added optional role matching while keeping a useful general score when no job description is supplied.","Integrated NVIDIA NIM behind explicit consent and server-only credentials, with measurable-claim grounding and deterministic fallback.","Built escaped, compile-ready LaTeX and an independent styled PDF export path."],"architecture":[{"id":"resume-input","label":"Role and resume input","responsibility":"Collects a role description and either canonical or visitor resume content.","connectsTo":["resume-analyser"]},{"id":"resume-analyser","label":"Evidence analyser","responsibility":"Calculates keyword fit and selects only canonical projects and proof.","connectsTo":["resume-generator"]},{"id":"resume-generator","label":"Package generator","responsibility":"Prepares tailored copy, LaTeX, PDF, and optional outreach content.","connectsTo":["resume-delivery"]},{"id":"resume-delivery","label":"Review and delivery","responsibility":"Keeps exports reviewable before download or configured email delivery.","connectsTo":[]}],"decisions":[{"decision":"Ground generated resume content in canonical portfolio records","reason":"Role tailoring should reorder and phrase verified work without inventing experience.","tradeoff":"The output is constrained by the completeness of the source archive."},{"decision":"Keep deterministic analysis alongside optional provider-backed generation","reason":"Keyword and ATS feedback must remain useful when an AI provider is unavailable.","tradeoff":"The deterministic path is less expressive than a reviewed provider-generated draft."}],"limitations":["Provider-backed generation and email delivery depend on valid server configuration and fail closed when unavailable.","The fit score is guidance for review, not a promise of recruiter or ATS outcomes."],"proofIds":[]}},{"id":"project-04","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Power BI Analytics Dashboards","description":"Business intelligence dashboards that translate noisy datasets into decision-friendly visuals and operational views.","ytDemoUrl":"","tags":["Power BI","SQL","Data Visualization","Excel","Analytics"],"status":"active","priority":7,"number":"04","summary":"Cleaner analytical storytelling for teams that need to understand raw numbers quickly.","impact":"Made complex data easier to compare, read, and act on through stronger dashboard structure and clearer visuals.","stack":["Power BI","SQL","Data Visualization","Excel","Analytics"],"color":"#ffd166","date":"2025 - 2026","github":"https://github.com/NagabhushanaRajuS","live":"","images":[],"caseStudy":{"context":"A set of business-intelligence exercises focused on turning source data into decision-oriented Power BI views using SQL, Excel, and visual analysis.","contribution":["Prepared source data for dashboard analysis with SQL and Excel-based cleaning steps.","Organized Power BI report views around comparisons, trends, and operational summaries.","Applied responsive visual hierarchy so the most important analytical signal remains readable first."],"architecture":[{"id":"bi-sources","label":"Source data","responsibility":"Provides the raw tables and spreadsheet inputs used by the analysis.","connectsTo":["bi-transform"]},{"id":"bi-transform","label":"Transform layer","responsibility":"Cleans and reshapes source fields with SQL and spreadsheet tooling.","connectsTo":["bi-model"]},{"id":"bi-model","label":"Analytical model","responsibility":"Organizes measures and relationships for report consumption.","connectsTo":["bi-report"]},{"id":"bi-report","label":"Power BI report","responsibility":"Presents the decision-oriented charts and summaries.","connectsTo":[]}],"decisions":[{"decision":"Separate source preparation from report presentation","reason":"A clean analytical model keeps visual pages focused on interpretation instead of repair work.","tradeoff":"Changes to source fields must be propagated through the transform and model layers."},{"decision":"Prioritize a small number of decision signals per view","reason":"Dense dashboards make it harder to identify the first useful comparison.","tradeoff":"Secondary detail moves to supporting pages or drill-down views."}],"limitations":["No public dashboard file, source dataset, or quantified business outcome is linked.","The linked Power BI learning record supports training context, not a claim of production deployment."],"proofIds":["cert-01"]}},{"id":"project-05","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Expense Tracker Web App","description":"A responsive finance tracker with category-aware inputs, persistent storage, and immediate feedback loops for day-to-day budgeting.","ytDemoUrl":"","tags":["React","JavaScript","Charts","Responsive Design","Local Storage"],"status":"active","priority":6,"number":"05","summary":"A practical product with clear interaction design and disciplined frontend state handling.","impact":"Proved out the ability to ship a clean, useful interface for real everyday use rather than only demo scenarios.","stack":["React","JavaScript","Charts","Responsive Design","Local Storage"],"color":"#5eead4","date":"Mar 2025 - Apr 2025","github":"https://github.com/NagabhushanaRajuS","live":"","images":[],"caseStudy":{"context":"Built from March to April 2025 as a mobile-friendly budgeting tool for recording income and expenses, reviewing category patterns, and maintaining a monthly view.","contribution":["Built responsive income and expense entry flows with immediate balance and category feedback.","Added interactive data visualization for spending review.","Used localStorage persistence so transactions remain available across browser sessions.","Designed the interface to remain usable on mobile layouts."],"architecture":[{"id":"expense-input","label":"Transaction input","responsibility":"Collects categorized income and expense records.","connectsTo":["expense-state"]},{"id":"expense-state","label":"Application state","responsibility":"Calculates balances and prepares category totals.","connectsTo":["expense-storage","expense-charts"]},{"id":"expense-storage","label":"Local storage","responsibility":"Persists transaction records in the current browser.","connectsTo":["expense-state"]},{"id":"expense-charts","label":"Budget views","responsibility":"Renders balances, category summaries, and interactive charts.","connectsTo":[]}],"decisions":[{"decision":"Use localStorage for the project persistence layer","reason":"The budgeting workflow remains usable without a backend deployment.","tradeoff":"Records do not synchronize across devices or user accounts."},{"decision":"Update summaries immediately after each transaction","reason":"Budgeting feedback is most useful at the moment a record changes.","tradeoff":"Derived totals must remain consistent with every create, edit, and delete path."}],"limitations":["Browser-local persistence does not provide accounts, cloud backup, or multi-device synchronization.","No public usability study or financial-outcome metric is linked."],"proofIds":[]}},{"id":"project-06","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Ola Electric Clone","description":"A full-stack e-mobility product clone covering listings, bookings, service flows, charging lookup, and admin-side management.","ytDemoUrl":"","tags":["Full-Stack","React","Node.js","MongoDB","Admin Panel"],"status":"active","priority":5,"number":"06","summary":"Full-stack product thinking across user journeys, operational tooling, and UI polish.","impact":"Connected user-facing flows and admin-side management into one coherent product shell.","stack":["Full-Stack","React","Node.js","MongoDB","Admin Panel"],"color":"#38d6ff","date":"Feb 2025","github":"https://github.com/NagabhushanaRajuS","live":"","images":[],"caseStudy":{"context":"Built in February 2025 as an educational full-stack product clone covering customer journeys and the operational tools needed to manage scooters and orders.","contribution":["Implemented scooter browsing and booking-oriented customer flows.","Added test-ride booking, service scheduling, and charging-station lookup experiences.","Built an admin-side workflow for scooter and order management.","Connected the React interface to a Node.js and MongoDB full-stack structure."],"architecture":[{"id":"ola-client","label":"Customer client","responsibility":"Presents listings, bookings, service, and charging-station journeys.","connectsTo":["ola-api"]},{"id":"ola-admin","label":"Admin client","responsibility":"Manages scooter and order records through operational views.","connectsTo":["ola-api"]},{"id":"ola-api","label":"Node.js API","responsibility":"Coordinates customer and admin operations against persisted data.","connectsTo":["ola-db"]},{"id":"ola-db","label":"MongoDB store","responsibility":"Persists scooter, booking, service, and order records.","connectsTo":[]}],"decisions":[{"decision":"Model customer and admin journeys in the same project","reason":"Bookings and service requests need a corresponding operational management path.","tradeoff":"The project surface is broader and requires stricter role separation."},{"decision":"Keep operational records in a document database","reason":"The project stack uses MongoDB for the evolving scooter and order records.","tradeoff":"Relationship constraints must be enforced in application logic."}],"limitations":["This is an educational clone and is not affiliated with or operated by Ola Electric.","No production payment, identity, vehicle, or charging-network integration is claimed.","No public repository, live demo, or measured reliability result is linked."],"proofIds":[]}}],"certificates":[{"id":"cert-01","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"30-Days Power BI Micro Course","issuer":"Learn More Pro / Skill Course","date":"May 11, 2025","credentialUrl":"/certificates/150_9001_2015_certified_e_learning.png","previewImage":"/certificates/150_9001_2015_certified_e_learning.png","category":"Data Analytics","platform":"Learn More Pro","credentialId":"SQ21TO1"},{"id":"cert-02","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Advanced Statistics for Machine Learning","issuer":"Infosys Springboard","date":"December 9, 2025","credentialUrl":"https://verify.onwingspan.com","previewImage":"/certificates/advanced_statistics_for_machin_q.png","category":"ML Foundations","platform":"Infosys Springboard","credentialId":""},{"id":"cert-03","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Google AI Professional Certificate","issuer":"Google Career Certificates","date":"March 30, 2026","credentialUrl":"https://coursera.org/verify/professional-cert/BYS6EG6NY11L","previewImage":"/certificates/al_fundamentals.png","category":"AI","platform":"Coursera","credentialId":"BYS6EG6NY11L"},{"id":"cert-04","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Oracle Autonomous Database Professional","issuer":"Oracle","date":"April 12, 2026","credentialUrl":"https://coursera.org/verify/8T9Z8210ZKSF","previewImage":"/certificates/course.png","category":"Cloud Data","platform":"Coursera","credentialId":"8T9Z8210ZKSF"},{"id":"cert-05","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Summarize and Evaluate Ethical AI Insights","issuer":"Coursera / LearningMate","date":"April 7, 2026","credentialUrl":"https://coursera.org/verify/I3TS21V9VVQU","previewImage":"/certificates/course_1.png","category":"Responsible AI","platform":"Coursera","credentialId":"I3TS21V9VVQU"},{"id":"cert-06","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Learning How to Learn","issuer":"Deep Teaching Solutions","date":"April 9, 2026","credentialUrl":"https://coursera.org/verify/PVUZC55DSOF4","previewImage":"/certificates/deep_course.png","category":"Learning Systems","platform":"Coursera","credentialId":"PVUZC55DSOF4"},{"id":"cert-07","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Being a Researcher (Information Science and Technology)","issuer":"Politecnico di Milano","date":"April 12, 2026","credentialUrl":"/certificates/politecnico_course.png","previewImage":"/certificates/politecnico_course.png","category":"Research","platform":"Coursera","credentialId":""},{"id":"cert-08","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"The Entrepreneur's Guide for Beginners","issuer":"Universitat de Barcelona","date":"January 30, 2026","credentialUrl":"/certificates/ol.png","previewImage":"/certificates/ol.png","category":"Entrepreneurship","platform":"Coursera","credentialId":""},{"id":"cert-09","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Getting Started with Managing Remote Teams","issuer":"Infosys Springboard","date":"December 10, 2025","credentialUrl":"/certificates/infosys.png","previewImage":"/certificates/infosys.png","category":"Leadership","platform":"Infosys Springboard","credentialId":""},{"id":"cert-10","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Microsoft Excel Using AI Workshop","issuer":"OfficeMaster / be10x","date":"2025","credentialUrl":"/certificates/excel_using.png","previewImage":"/certificates/excel_using.png","category":"Productivity","platform":"be10x","credentialId":""},{"id":"cert-11","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Data Analytics Using Power BI Workshop","issuer":"TechTip24","date":"October 20, 2024","credentialUrl":"/certificates/tech_tip_24.png","previewImage":"/certificates/tech_tip_24.png","category":"Workshop","platform":"TechTip24","credentialId":""},{"id":"cert-12","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"AI & Data Science Applications","issuer":"TejasPro Trainings","date":"2025","credentialUrl":"/certificates/tejaspro_rn_trainings.png","previewImage":"/certificates/tejaspro_rn_trainings.png","category":"Training","platform":"Industry Skilling Program","credentialId":""},{"id":"cert-13","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Remark Skill Technical Workshop on Data Science","issuer":"Remarkskill / IIT Hyderabad","date":"April 12-13, 2025","credentialUrl":"/certificates/remarkskill_ny_oo_ela.png","previewImage":"/certificates/remarkskill_ny_oo_ela.png","category":"Workshop","platform":"Remarkskill","credentialId":""},{"id":"cert-14","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Project Expo - Second Prize","issuer":"Department of CSE (Data Science), MIT Mysore","date":"2026","credentialUrl":"/certificates/department_of_cse_data_science.png","previewImage":"/certificates/department_of_cse_data_science.png","category":"Award","platform":"MIT Mysore","credentialId":""},{"id":"cert-15","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Hack Fusion 1.0 Coordinator","issuer":"MIT Mysore","date":"September 27-28, 2025","credentialUrl":"/certificates/think_it.png","previewImage":"/certificates/think_it.png","category":"Leadership","platform":"Hack Fusion","credentialId":""},{"id":"cert-16","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Hack 4 Mysore Participation","issuer":"MIT Mysore","date":"2026","credentialUrl":"/certificates/certificates_hackthon_1.png","previewImage":"/certificates/certificates_hackthon_1.png","category":"Hackathon","platform":"Hack 4 Mysore","credentialId":"688639-URK436L7"},{"id":"cert-17","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Cepheus Hackathon Participation","issuer":"GDG Atria / Atria Institute of Technology","date":"April 22-23, 2026","credentialUrl":"/certificates/ity_atria_o_o_sore_print.png","previewImage":"/certificates/ity_atria_o_o_sore_print.png","category":"Hackathon","platform":"Cepheus","credentialId":""},{"id":"cert-18","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Science and Technology E-Quiz (85%)","issuer":"Brand Stream 5 / MIT Mysore","date":"2025","credentialUrl":"/certificates/maharaja_institute_of_technology_mysore_1.png","previewImage":"/certificates/maharaja_institute_of_technology_mysore_1.png","category":"Quiz","platform":"MIT Mysore","credentialId":""},{"id":"cert-19","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Open Source Contributions - Keras","issuer":"keras-team/keras","date":"2026-07-01","credentialUrl":"https://github.com/keras-team/keras/pulls?q=is%3Apr+author%3AMrNagabhushana-0-dev","previewImage":"","category":"research","platform":"GitHub","credentialId":"keras-team/keras#23221"},{"id":"cert-20","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Published Paper - IRJMETS Vol 7 Issue 12","issuer":"International Research Journal of Modernization in Engineering Technology and Science","date":"2025-12-01","credentialUrl":"https://www.irjmets.com/","previewImage":"","category":"research","platform":"IRJMETS","credentialId":"IRJMETS Vol 7 / Issue 12"},{"id":"cert-21","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Cerebras x Google DeepMind Gemma 4 Hackathon","issuer":"Cerebras and Google DeepMind","date":"2026-06-01","credentialUrl":"","previewImage":"","category":"hackathon","platform":"Cerebras","credentialId":""}],"goals":[{"id":"goal-01","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Join a product-minded AI/ML team","description":"Work with teams where model quality, product clarity, and interface craft all matter at the same time.","status":"in-progress"},{"id":"goal-02","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Turn Resume Lab into a live generator","description":"Connect portfolio data to tailored resume generation, certificate selection, and cold-email drafting.","status":"in-progress"},{"id":"goal-03","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Push deeper into interactive ML interfaces","description":"Keep blending realtime AI, Three.js, motion systems, and strong UX so technical work feels tangible.","status":"in-progress"},{"id":"goal-04","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"title":"Ship more public proof","description":"Convert coursework, prototypes, and competition work into stronger public case studies and demos.","status":"planned"}],"education":[{"id":"edu-001","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"label":"B.E. Computer Science & Engineering (Data Science)","institution":"Maharaja Institute of Technology Mysuru (MITM)","website":"https://mitmysore.in","location":"Mysuru, Karnataka, India","years":"2022 - 2026 (Expected June 2026)","grade":"CGPA 7.2","courseList":["Machine Learning","Advanced Statistics","Data Structures","Database Systems","Computer Vision","Data Visualization"]}],"channels":[{"id":"channel-01","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"name":"GitHub","url":"https://github.com/NagabhushanaRajuS","description":"Code repositories, experiments, and the practical engineering side of the portfolio."},{"id":"channel-02","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"name":"LinkedIn","url":"https://www.linkedin.com/in/nagabhushana-raju-s","description":"Professional presence, milestones, and the public-facing career profile."},{"id":"channel-03","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"name":"Contact","url":"/contact","description":"Direct line for hiring conversations, collaborations, and project discussions."},{"id":"channel-04","createdAt":"2026-07-07T00:00:00.000Z","updatedAt":"2026-07-07T00:00:00.000Z","isDeleted":false,"name":"Hologram Demo","url":"/hologram-face","description":"Interactive MediaPipe-based hologram-face experiment inside the portfolio."}],"visitorContact":{"email":"nagabhushanarajus_ds@mitmysore.in","phone":"+91 6366434441"},"updatedAt":"2026-08-28T00:00:00.000Z"}