B.Tech Information Technology · DJSCE Mumbai · Class of 2027
Building agentic AI systems, RAG pipelines, and full-stack products that actually ship.
Third-year IT student at Dwarkadas J. Sanghvi College of Engineering, Mumbai. I work at the intersection of AI/ML engineering and product thinking — most of my projects are systems that combine LLMs, vector databases, and real-time data pipelines into things people can use.
Outside the technical work: I compete in hackathons and case competitions, follow the Indian equity market closely, and tinker with custom ROMs when I'm curious about what's running underneath.
AI-augmented crisis helpline intelligence layer · SOC1 Hackathon
Real-time operator HUD for crisis helpline management. Built on a five-agent system with a MetaAgent for conflict resolution between agent outputs. Multilingual STT via Sarvam AI. Entirely free-tier stack.
Stack: WebRTC · Groq · Sarvam AI · Leaflet.js · OpenStreetMap · Overpass API
Architecture: 5-agent pipeline — Triage Agent, Risk Agent, Resource Agent, Sentiment Agent, MetaAgent (conflict resolver)
Agentic AI backtesting platform for equity strategies
LangChain-powered agent that interprets natural-language trading strategy descriptions, generates backtesting logic, executes against historical NSE data, and returns performance analytics. Uses Pinecone for strategy memory and retrieval.
Stack: LangChain · Pinecone · Python · FastAPI · NSE data
Key feature: Strategy memory via vector embeddings — retrieve similar past strategies before generating new ones
B2B AI trade matchmaking platform
AI-powered platform that matches exporters and importers using semantic search over trade profiles. Migrated backend from Gemini to Groq (llama-3.3-70b-versatile) with round-robin API key rotation across FastAPI and Flask layers. Multi-namespace RAG search via Pinecone.
Stack: FastAPI · Flask · Groq · Pinecone · React
Notable: Round-robin key rotation across both API layers for rate limit management
Indian stock portfolio backend deployed on Hugging Face Spaces
FastAPI backend for NSE-listed equity portfolios. Simulates day high/low tracking, portfolio valuation, sector breakdowns, and returns analysis. Switched data source from Yahoo Finance to nsepython after IP-ban issues.
Stack: FastAPI · nsepython · Python · Hugging Face Spaces
Live: huggingface.co/spaces · Public API endpoints for NSE data
Autonomous paper digest system running on GitHub Actions
Autonomous agent that queries arXiv, Semantic Scholar, and Papers With Code on a schedule, curates relevant AI/ML papers, and delivers a Telegram digest. Extended with a historical AI curriculum mode — delivers landmark papers in chronological order to build foundational knowledge.
Stack: GitHub Actions · Python · arXiv API · Semantic Scholar API · Telegram Bot API
Modes: Daily digest (recent papers) + Historical curriculum (chronological landmark papers)
Academic project · CV + NLP fusion
Detection system that fuses visual and linguistic signals to classify deepfake media. Combines CNN-based frame analysis with NLP-based transcript inconsistency detection.
Stack: Python · PyTorch · OpenCV · Transformers
AI-powered route optimization
Intelligent routing system with natural language query support. Users describe routing constraints in plain English; the system generates optimized paths.
Stack: Python · Leaflet.js · OpenStreetMap · Groq
File and text sharing tool
Lightweight sharing tool deployed on Hugging Face Spaces for quick file and clipboard text exchange.
Stack: FastAPI · Hugging Face Spaces
| Competition | Result | Topic |
|---|---|---|
| VJTI BlackBox Debuggathon | 🥈 2nd Place | Systems debugging |
| AVISHKAAR Season 3 (National) | 🏆 Top 5 | Innovation / AI |
VoiceForward → SOC1 Hackathon submission (active)
StratoTest → Expanding strategy library + backtesting accuracy
Portfolio Insights → Adding options chain data + F&O analytics
- Indian equity markets — equity research, portfolio construction, fundamental + technical analysis of NSE-listed companies
- Custom ROMs — device modding, kernel-level tinkering, understanding what's running at the OS layer
- Case competitions — business strategy under time pressure
Building something with agentic AI, RAG, or real-time data pipelines? Or just want to talk equity research or custom ROMs?