About Me
Generative AI engineer who ships live LLM application in production, LangGraph agentic workflows, and end-to-end ML pipelines on real datasets. Currently contributing to open-source AI products at IIT Ropar’s VLED Lab. SGPA 9.29/10 · NPTEL ML Elite (IIT Kharagpur) · Innohack 2.0 Top 30/202 teams.
Skills & Technologies
Work Experience
Research & AI Intern
Designed core AI architecture for CrowdFAQ at IIT Ropar, implementing a semantic similarity pipeline and intent detection. Led the Learning Intelligence project on Spandan, developing an AI-powered classroom intelligence platform with a Question Quality Analytics API.
AI/ML Intern
Developed EduBot, a production LLM application using Meta Llama 38B, and engineered a scalable serverless system with a response time of 2-5 seconds in production.
Applied AI Intern
Built multi-step AI agents with persistent memory and automated an end-to-end email responder pipeline using Relay.app, achieving a complete GenAI workflow in production.
Projects
EduBot – AI-Powered Study Assistant
Production LLM app with 4 prompt-engineered learning modes; serverless deployment with a response time of 2-5 seconds.
Restaurant Intelligence System
Developed 3 end-to-end ML pipelines on 9,500+ records, including a rating predictor and cuisine classifier, revealing significant insights into feature importance and model performance.
Cogniflow – Offline AI Learning System
Created a fully offline PDF to quiz/flashcard/voice pipeline using locally hosted LLMs, designed for low-infrastructure environments.
Education
Bachelor of Engineering
Artificial Intelligence and Data Science