I build backend systems and applied-AI tools.
Streaming data pipelines, RAG, backends, and agentic systems β using AI where it helps and owning the hard decisions myself.
Portfolio β’ LinkedIn β’ Contact Me
- π« Education: 3rd year B.Tech in Computer Science & Engineering at IIT Tirupati (Class of 2028). CGPA: 8.93/10
- π» Shipping since before college: I taught myself to program and built ScraGet, a Python package with 100,000+ installs.
- π Leadership: Deputy Head of Coding Club (Digital Wizards) & GDG on Campus at IIT Tirupati. Core Member of Sigma Squad (AI/ML Club).
- βοΈ Focus: Backend systems Γ Applied AI.
Applied AI: RAG, LLM, Ollama, ChromaDB, Multi-agent orchestration
Systems: Kafka, Debezium, Pathway, FastAPI, Flask, Docker.
| Project | Description | Role / Result |
|---|---|---|
| Vigil360 | Real-time KYC & fraud-detection pipeline using agentic streaming systems (Kafka, Debezium, Pathway, PostgreSQL). Cuts KYC processing from days to minutes. | Integration engineer for the ETL pipeline. 5th of 23 IITs at Inter IIT Tech Meet 14.0 |
| AttorneysInRAGs | Legal-compliance analysis using RAG. Scores Terms-of-Service documents using hybrid keyword/similarity retrieval and local LLMs. | Team lead. 1st place at Code for Society, IIT Tirupati |
| ScraGet | Python wrapper for the Scratch APIs abstracting REST APIs into a clean Pythonic interface. | Solo build. 100,000+ installs lifetime. |
| JoSAA Data Pipeline | Scraping and parsing pipeline for official JoSAA reports. Processed 110k+ rows, used by 6k+ students. | Solo build. 66k+ impressions. |



