Implemented Python-based path planning algorithms, specifically including A* search and Dijkstra's algorithms for robotics lab assignments, improving execution efficiency and supporting student projects. Utilized Git and GitHub to facilitate collaborative code reviews, encouraging agile methodology and CI/CD practices.

Full Stack Developer Intern at Network Labs, Mumbai, India

February 1, 2024 - February 1, 2024

Developed secure Spring Boot APIs using OAuth 2 with JWT-based access to ingest high-volume network traffic, publishing events to Kafka topics for real-time anomaly detection. Built Spring Boot endpoints that send traffic features to a scoring service and return results as JSON for dashboards. Implemented RBAC across the project with security engineers, reducing unauthorized access attempts. Containerized several traffic-analytics components with Docker, reducing downtime and enabling horizontal scaling.

Full Stack Developer Intern at Totem Interactive

November 1, 2023 - November 1, 2023

Designed a live feedback widget using React.js and TypeScript to display token usage and AI cost in real-time, reducing beta testing billing disputes. Built a smart history API in Spring Boot with PostgreSQL caching that lets velocity copilots reuse prompts and re-run past AI prompts, reducing repeated work by approximately 30%. Optimized PostgreSQL queries for analytics endpoints by introducing composite indexes and rewriting joins for heavy queries, improving average response time for high-traffic endpoints. Implemented AWS S3 pipeline with automated lifecycle policies for AI generated assets, standardizing media delivery.