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Chetan3777/README.md

Chetan Jha

Senior Software Engineer · Java + Agentic AI

Location Experience Currently Open To Work


I build high-traffic Java backend systems — and the LLM-powered agents that run on top of them.

About

Senior Software Engineer with 5+ years shipping production-grade Java backend systems and, more recently, agentic AI on top of them.

  • Currently at Qatar Airways, maintaining 30+ microservices on the airline's highest-priority revenue platform.
  • Building LLM agents, multi-agent orchestrators, and 3+ MCP servers with Spring AI.
  • Previously at Infosys — led AWS migrations and 15+ RESTful APIs for UK banking clients.

I care about clean architecture, four-layer test coverage, and code that does its job at 3 a.m. without paging anyone.

Currently

role:       Senior Software Engineer  @  Qatar Airways
shipping:   LLM agents · MCP servers · multi-agent orchestration  (Spring AI)
maintains:  30+ production microservices · 99.9% uptime
exploring:  Advanced RAG patterns · agent evaluation · vector DB tuning
  open_to:    Senior Software Engineer roles  ·  Backend Java & Agentic AI

Tech Stack

Languages

Java Python SQL Bash

Backend & Frameworks

Spring Boot Spring AI Hibernate FastAPI

AI / GenAI

LLM Agents MCP Servers RAG Vector DB

Cloud & DevOps

AWS Azure Docker Jenkins Git

Databases

MySQL PostgreSQL

Featured Work

AI Agent Platform

Self-Initiated · Spring AI · FastAPI · MCP · RAG

A platform to design, deploy and manage LLM-powered agents — with custom system prompts, pluggable MCP toolsets, and an end-to-end RAG pipeline (chunking, embeddings, vector DB indexing). 10+ REST endpoints via FastAPI; orchestration on Spring AI.

UK Banking Cloud Migration

Infosys · Spring Boot · AWS · JPA · Microservices

Migrated critical banking entities from on-premises to AWS with zero data loss. Moved 5+ scalable microservices onto EC2, RDS and S3 with hardened IAM. Established CloudWatch baselines, alarms and runbooks for clean handover.

GitHub

Engineering Principles
Tests before tickets Four-layer coverage on every change — unit, acceptance, integration, system integration.
Observability first If you can't see it, you can't fix it. Metrics, traces and runbooks ship with the code.
Architecture is decisions Write down the why, not just the what.
AI as a building block Agents are code. Treat them like it — observable, testable, replaceable.

Let's Connect

I respond within 24 hours. Always interested in conversations about Java backend systems, agentic AI, and the intersection of the two.

Email LinkedIn GitHub


Engineered with precision. Deployed with purpose.

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