Yogaselvan S
AI Developer building RAG systems, LLM integrations.
Ready for work
Yogaselvan is ready for their next project!
Built a machine learning pipeline for early Alzheimer's disease detection from structured clinical data, including preprocessing and feature engineering. Trained and evaluated classification models using accuracy-based metrics.
Built a real-time hand-landmark detection system using MediaPipe Hands and OpenCV, tracking 21 keypoints per frame from live webcam input. Optimized frame processing for real-time computer vision performance.
Built an end-to-end pipeline that discovers local businesses without a website, enriches their contact details, and drafts personalized outreach using an LLM. Discovery is idempotent, keyed on a stable source ID, so no business is ever contacted twice across repeated runs....
Retrieval system over 370 sections of Indian tax law, chunked to section level so every answer carries a citation. Evaluated on 52 hand-verified questions baseline recall@5 of 0.71. Diagnosed the failure mode as a vocabulary gap between everyday phrasing and legal terminology,...
