I build AI-powered applications and backend systems that turn data and models into usable products.
My work focuses on Python-based systems that combine backend engineering, retrieval pipelines, and applied AI to build practical, end-to-end applications.
• AI-powered applications using LLMs and retrieval pipelines
• Backend APIs and services connecting data, models, and user interfaces
• Data-driven systems that translate raw data into usable insights
• Product-style projects designed to be used, not just demonstrated
My projects typically involve end-to-end workflows from data ingestion and processing to AI integration and user-facing features.
AI-powered document interaction system that allows users to query PDFs/Docx using natural language.
• Retrieval-Augmented Generation (RAG) pipeline
• Qdrant vector database for semantic search
• FastAPI backend + React frontend
• LLM responses grounded strictly in document context
AI system that analyzes resumes against job descriptions and generates actionable improvement insights.
• Semantic resume-JD comparison using embeddings
• FAISS vector search + LLM reasoning
• Full-stack application with Flask + React
Large-scale exploratory analysis of quick-commerce delivery operations.
Focus areas:
• demand patterns
• delivery performance
• churn signals
If you're reviewing this profile professionally,
Klarity and Resume2Job are the one of best places to start.


