Building intelligent systems using Machine Learning, Large Language Models, Product and Data.
I build AI-powered applications that combine Machine Learning, Large Language Models, and Data Science to solve real-world problems.
My interests span AI Engineering, Agentic AI, LLM Systems, Predictive Modeling, Semantic Search, Workflow Automation, Backend Engineering, and Full-Stack AI Products.
AI / LLM Systems Engineer Intern — OpenIdea
LLM Applications • ONDC Buyer App • Prompt Engineering • Semantic Search • AI Automation • AWS • FastAPI
Research & Development Intern — FNF Coliving
Machine Learning • Feature Engineering • Predictive Analytics • Model Evaluation • Data Visualization
| Project | Description |
|---|---|
| Pyramids | AI-powered student collaboration platform. Live: https://pyramids-connect.vercel.app/ |
| OpenIdea | AI systems, ONDC integration, LLM workflows and automation. |
| Stress Level Classification | Published ML research using psychological and non-psychological features. |
| Recipe Recommendation System | Personalized recommendation engine. |
| Trader Behaviour Insights | Data analytics and machine learning. |
Python • TensorFlow • PyTorch • Scikit-Learn • Pandas • NumPy • OpenCV
OpenAI • Claude • MCP • Prompt Engineering • AI Agents • Semantic Search
FastAPI • Flask • PostgreSQL • SQLAlchemy • Docker • AWS • Linux
A Machine Learning Approach to Classifying Stress Levels Using Psychological and Non-Psychological Features
Journal of Intelligent Computing System (JICS) • 2026
"Building intelligent systems that transform data into real-world impact."