About Me Full-stack Software Engineer focused on AI-driven systems, LLM integrations, RAG, OCR, voice-to-text, and scalable backend architectures. 💼 Software Engineering experience across WIS and XYGen.ai — building AI workflows, RAG document pipelines, and scalable APIs. 🎓 BSc (Hons) in Information Technology — SLIIT 🧠 I build clean APIs, practical AI workflows, and smooth product experiences. 🌍 English · Tamil

Featured Engineering & AI Projects

MediMind — AI Document Intelligence & Grounded RAG Turns prescriptions, lab reports and scans into a structured clinical timeline, runs safety checks, and answers questions grounded in the exact source page — with Tesseract OCR fallback and an anonymous workspace model. 🛠 Tech Stack Python FastAPI OpenAI API Supabase ChromaDB OCR (Tesseract) Docker TypeScript 📈 Key Impact Documents → timeline → safety alerts → source-cited answers, end to end.

ConvertLab — Privacy-First On-Device Toolkit Browser toolkit for file conversion, developer utilities, writing helpers and calculators. Every tool runs on-device in the browser — nothing is uploaded to a server. 🛠 Tech Stack TypeScript Next.js React Tailwind CSS Vitest 📈 Key Impact Zero-upload privacy by design — no server ever receives the file.

Tech Stack & Competencies

🧠 AI & ML Systems
⚙️ Backend & Cloud
💻 Web Frontend

Research

IEEE Publication — ICAC 2024 Python web-based ML/AI research analyzing academic, relational, economic, and social influences on university student happiness, contributing to EdTech and well-being analytics.

GitHub Analytics

Dev Quote

Let's build useful software with clean engineering + practical AI.