Third-year CSE student at GITAM University. I work mostly with Python, SQL, PostgreSQL and FastAPI, and I spent the summer of 2026 as an AIML intern at Motherson Technology Services.
I'm a 3rd year B.Tech Computer Science student at GITAM University, Visakhapatnam (CGPA: 9.17) with a core focus on backend architecture and data engineering. I like building things that move data around and keep it correct.
Recently, I wrapped up a software engineering internship at Motherson Technology Services, where I built the chat history storage layer for LegalLensa live AI legal research platform.
Outside of coding I listen to the Arctic Monkeys, read One Piece, think about Triumph motorcycles and drink Davidoff Espresso 57.
Technologies I have used, grouped by area.
Extracting data from several sources, cleaning and normalizing it, and loading it incrementally.
Relational schema design up to 3NF, reading query plans, and choosing indexes.
One internship so far.
Architected a hybrid data persistence layer: paired SQLite for lightweight conversation metadata indexing with Azure Blob Storage for full message payload archival. Independently designed and shipped end-to-end across a FastAPI backend and three React/TypeScript frontend modules.
Engineered per-feature-mode storage isolation across three product modes (Analysis Engine, Research Assistant, Draft Builder). This enabled per-session search, restore, and archive operations with zero cross-module data contamination.
Authored a 316-line FastAPI module (chat_history.py) from scratch. Shipped 9 CRUD endpoints for conversation recovery, archiving, title-based search, and message persistence, coordinating Azure Blob writes with SQLite metadata tracking in a unified read/write flow.
Conducted systematic codebase audit: surfaced 14+ critical bugs including broken feature-type isolation across all three product modules; produced a 27-entry structured bug tracker with root-cause documentation.
Four projects, with a short list of other repositories below. Each card has a details panel and links to the code.
Python pipeline that scrapes market capitalization data for the largest banks, converts currencies with vectorized Pandas and NumPy, and loads the result into SQLite and CSV.
University clinic app where students book doctors, and doctors record diagnoses and prescriptions. Express API on PostgreSQL with JWT auth, bcrypt password hashing and rate limiting.
Travel companion for road trips: route planning, nearby stops, a Gemini-powered chat assistant and trip logging. The repo README says it is still in development.
Prefix search in C using a Trie, with a min-heap to rank the top suggestions. Checked with Valgrind. This one has no public repository.
MERN app that connects kitchens with surplus food to NGOs. Live
WebGL scene that maps Spotify listening history onto star systems, with Web Audio synthesis. Live
Small Python data pipeline runner, set up as an open-source practice repo with issues.
Terminal games in pure Python for first-time contributors.
A practice website for making a first pull request. Live
Smart India Hackathon prototype: secure data erasure and file recovery tool with a hash-chained audit log.
A comprehensive 16-course curriculum spanning data engineering architecture, pipeline design, and distributed processing.
Two 24-hour hackathon builds.
Led development of TripSync, an AI-powered travel platform, delivering a functional prototype from zero within a 24-hour constraint.
Deployed the full KAPS MedTech healthcare backend within 24 hours, including PostgreSQL schema design, API endpoints, and secure authentication: under competitive conditions.
I am looking for data engineering and backend internships. The easiest way to reach me is email.