Headline

Backend Engineer (Java, Spring Boot, Kafka) specializing in Agentic AI | Open to opportunities

About

Backend Engineer with 2+ years at TCS building scalable REST APIs and event-driven systems (Java, Spring Boot, Kafka, PostgreSQL) for Tata Play's production platform. Over the past year, I've specialized in agentic AI — building multi-agent backends with LangGraph and MCP that include human-in-the-loop governance, hybrid RAG, and audit trails. Winner, TCS AI Fridays Hackathon (1st/30 teams) for an Agentic RAG assistant. Built ReorderIQ (multi-agent inventory forecasting) and RouteIQ (agentic logistics summarization), both open source on GitHub. Open to Backend Engineer, SDE, and AI Application Engineer roles.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

gemini

github copilot

langgraph

Work experience

Software Developer at Tata Consultancy Services, Jul 2024 - Present · 2 yrs 4 mos, Bengaluru, - Working in backend development for the Tata Play project using Spring Boot, Java, PostgreSQL, and Kafka. - Developed and maintained 60+ production-grade REST APIs for Tata Play's PRM and EAI systems. - Reduced API response latency by ~40% through backend performance optimization - Follow Agile methodology and clean coding practices to deliver scalable, reliable APIs. - Proficient with tools like Postman, Swagger, JUnit, Elasticsearch, and Kibana.

Embedded Design Engineer at DRDO, Ministry of Defence, Govt. of India, May 2023 - Jun 2023 · 2 mos, Dehradun, Uttarakhand, India, • Integrated Laser range finder with Electro-Optical surveillance system. • Managed using ATxMEGA128A3U AVR micro-controller. • Utilized LRX-42A 1.5.2 module for seamless compatibility and optimal performance.

Product Developer at TE Connectivity, Oct 2022 - Jul 2023 · 10 mos, Bengaluru, • Developed signal optimizing algorithms using Hw/Sw technologies. • Ensured efficient transmission and reduced losses. • Assisted in PCB connector design and power leakage analysis. • Improved transmission efficiency by 15% by integrating hardware–software signal solutions. • Reduced signal losses by 20% (98.76% accuracy) using deep learning-based transfer learning for PCB connector design optimization. • Improved connector accuracy by 10% through signal-processing noise reduction techniques.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, Vellore Institute of Technology

High School Diploma, CBSE, Sri Chaitanya College of Education