AI/ML Engineer, Data Systems Builder & Motion UI Developer
Applied AI projects recognized with 2nd prize at Project Expo 2026 and backed by verifiable certificates.

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Team lead on an award-winning multimodal disease-detection system, second prize at the Project Expo. The fusion model is under patent registration, and the work is published in IRJMETS Vol 7 Issue 12.
Department of CSE (Data Science), MIT MysoreProject Expo - Second Prize (opens in a new tab)Keras contributor: PR #23221 merged a class_weight validation fix; PRs #23362 and #23440 extend PyDataset and preprocessing reliability.
keras-team/kerasOpen Source Contributions - Keras (opens in a new tab)
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Selected work
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04 documented systems
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AI systems, data foundations, and interfaces built together.
I am a Computer Science and Data Science engineering student at Maharaja Institute of Technology Mysuru, building projects that sit between machine learning, data tooling, and strong interface craft.
My recent work ranges from multimodal disease detection and real-time sign language interpretation to analytics dashboards, workflow automation, and portfolio systems that feel as intentional as the products they showcase.
Right now I am focused on becoming the kind of engineer who can prototype quickly, ship cleanly, and translate ambitious ideas into useful products with both technical depth and visual quality.
ResNet, EfficientNet, MediaPipe Holistic (500+ landmarks), Caffe DNN, OpenCV.
BERT, Transformers, Claude API, Prompt Caching, ATS-scoring engines.
Power BI (30-day certified), SQL, MySQL, MongoDB, Hadoop, Hive data pipelines.
Next.js 14, React 18, TypeScript, Tailwind, FastAPI, WebSockets, Three.js / WebGL.
The Board
Signal, not noise.
4,800 electromagnetic discs across six live channels. Device signals stay local; network region comes from this page request, and precise location needs permission.
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