B.E CSE (AI) · Sathyabama Institute of Science & Technology, Chennai
3rd Year · Specialisation: Artificial Intelligence & ML
I work on the application layer of AI — not building LLMs from scratch, but engineering how they behave inside real products. RAG pipelines, prompt orchestration, response control, and wrapping it all in clean full-stack systems.
"Making AI talk is easy. Making it reliable is engineering."
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Real-time collaboration platform
Group messaging with sub-100ms delivery, 9 built-in micro-tools ( Galaxy Match, Typing Race), gamified Focus Mode with XP, streaks & leaderboard. OAuth2 + row-level security.
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AI-powered digital closet
Gemini API recommends outfits based on weather, occasion & style. Includes a real-time weather integration, LLM styling chatbot, and PostgreSQL clothing inventory with image upload & filter search.
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Context-aware AI assistant
RAG pipeline: PDF ingestion → text chunking → FAISS vector indexing → LangChain orchestration. Streaming FastAPI backend + React chat frontend. Source-cited, hallucination-reduced responses.
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ML platform for smart farming
98% accuracy crop yield prediction with ensemble regression. CNN-based plant disease detection across 10+ crop variants. AI-driven fertiliser & irrigation recommendations served via Flask REST API.
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| Domain | Technologies |
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| AI & LLMs |
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| Frontend |
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| Backend |
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| Data |
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| Languages |
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| Tools |
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+ Currently building: Chill Space v3 — Rust-powered backend services
+ Deepening: DSA patterns & System Design for 2026 prep
+ Open to: AI Engineering & SDE Internships — Summer 2026
! Focus Areas: RAG Pipelines · LLM Orchestration · Production AI Systems
Open to AI Engineering & SDE Internships — Summer 2026