AI/ML Engineer Β· Full-Stack Developer Β· Automation Builder
2nd Year CSE (AI & ML) @ VIT Chennai Β· Building things that actually ship
- π Pursuing B.Tech in CSE (AI & ML) at VIT Chennai (2024β2028)
- π I build across 5 domains β AI/ML, Mobile, Web, Automation, and Games
- π GDG FlutterSprint Hackathon β 2nd Place with MockMate
- β‘ Typing speed: 120 WPM
- π― Currently: Applying for AI/ML internships Β· AI Projects Β· DSA grind
- π± Long term goal: Build my own AI-first product
| Project | Description | Tech |
|---|---|---|
| MockMate | Multimodal AI interview coach β video analysis, facial expression + vocal confidence scoring | Flutter Β· Gemini API Β· MLKit |
| ThumbnailPro AI | YouTube thumbnail SaaS β 4 AI variants (Normal + Clickbait, 16:9 + 9:16) with magic editor | React Β· TypeScript Β· Gemini API |
| Autonomous Content Pipeline | Zero-touch daily AI agent β concept β tagline β video β YouTube. No human input | n8n Β· fal.ai Β· YouTube API |
| Medical Prescription OCR SaaS | LangChain pipeline that consolidates multi-prescription histories into clinical summaries | Python Β· LangChain Β· Streamlit |
| Flappy Bird AI | NEAT neuroevolution agent that achieves perfect, never-ending Flappy Bird play | Python Β· NEAT Β· Pygame |
| Dijkstra Pathfinding Visualiser | Real-time Dijkstra visualiser with multi-destination support and distance breakdown | Python Β· Pygame Β· Tkinter |
| π₯ | GDG FlutterSprint Hackathon β 2nd Place Built MockMate under Google Developers Group |
| π¦ | 10+ Projects Shipped Across AI/ML, mobile, web, automation, and games β all independently built |
| π€ | Production-Grade Agentic AI Systems Built and deployed autonomous multi-step AI pipelines as a 2nd year student |
| π₯ | Real-World AI in Healthcare Deployed a LangChain OCR SaaS for clinical prescription summarisation |
| β¨οΈ | 120 WPM Typing Speed |
π Applying for AI/ML internships in Bangalore (MayβJuly 2026)
π» DSA practice on LeetCode
π οΈ Building more projects in agentic AI and automation
π Deepening understanding of LLM internals and RAG architectures
"Learning by building, iterating fast, and turning ideas into working products."

