I'm a Computer Science Engineering undergraduate at VIT-AP University focused on building resilient full-stack architectures, high-performance web systems, and exploring applied AI agents. From engineering real-time manufacturing tracking telemetry at Tata Steel to architecting university mobility platforms and neural clinical diagnostic engines, I enjoy turning ambitious ideas into production-ready software. Currently exploring generative AI pipelines with the Gemini API, agentic workflows (LangGraph & LangChain), and low-latency cloud infrastructure.
SDE Intern
Tata Steel
- Built a real-time manufacturing monitoring application using FastAPI and JavaScript, giving plant operators live visibility into steel coil logistics across 8 production zones.
- Led the migration from a static UI to a fully persistent SQLite-backed system, ensuring exact state synchronization and zero data loss during asset transitions.
- Designed and deployed RESTful APIs with strict data validation, global error handling, and Role-Based Access Control (RBAC) to secure sensitive manufacturing data.
- Optimized frontend asynchronous data polling and state caching, reducing dashboard telemetry latency by ~35% for operators across 8 production zones.
Neuro-Fuzzy Clinical Diagnostic Engine
A machine learning-based Depression & Anxiety Screening system using Artificial Neural Networks (ANN) and Fuzzy Logic to assess mental health indicators and provide interpretable screening results.
Campus Travel Buddy - Full-Stack University Mobility & Carpooling Platform
Campus Travel Buddy is a MERN-based web application that enables college students to find travel partners, share rides, and reduce travel costs within a trusted campus community. It allows users to create, search, and join trips with a clean and responsive interface, making travel safer, more affordable, and more convenient.
BTech CSE
Vellore Institute of Technology - AP · CGPA : 8.35
Attendee · Oct 24, 2026