Pre-final CSE @ CDLSIET · New Delhi · Seeking Summer 2026 ML/AI Internships
I build AI systems that solve real problems at scale. As a 3rd-year Computer Science student at CDLSIET, I combine deep Machine Learning expertise with hands-on experience in modern AI — from multi-agent systems and RAG pipelines to NLP automation and computer vision.
Technologies I work with daily
Things I've built
Production-ready multi-agent AI automation system with specialized agents for Technical, Billing, Product, and Escalation support. Features auto ticket classification, sentiment analysis (85% accuracy), multi-language detection + translation, and speech-to-text voice processing — all served via a FastAPI microservices architecture.
LLM-powered book discovery using semantic search and vector embeddings. Users query in natural language — "a story about redemption in ancient civilizations" — and get semantically matched results via embedding similarity, not keywords.
Real-time sentiment analysis pipeline on live tweets using transformer-based NLP. Classifies public opinion as positive, negative, or neutral with a live visualization dashboard.
NLP system that translates plain English into syntactically correct PowerShell Active Directory commands. Transformer-based intent parsing with real-time syntax validation. Built during CDAC internship.
Automated Binance Futures trading system with market-responsive order execution and a comprehensive CLI. Supports multiple order types including market, limit, stop-loss, and take-profit.
Fully automated Arch Linux + Hyprland setup with one-command installation, complete dotfiles, and 50% system performance improvement through optimization. A showcase of systems-level depth.
Where I've worked and contributed