Headline

Software Engineer (SDE-2) @ Axis Bank | 3 YOE | Java · Spring Boot · Microservices · Kafka | GenAI: RAG, LangGraph, LLM Apps | Kubernetes · AWS · GCP

About

Java Backend Engineer with 3 years of experience building distributed microservices and, more recently, production GenAI systems. Currently SDE-2 at Axis Bank. I work primarily in Java and Spring Boot — designing high-throughput microservices and asynchronous data pipelines for enterprise financial workflows, and increasingly on the LLM/RAG systems that sit on top of them. What I've built: • Multi-stage financial approval workflow engine (Spring Boot microservices) — cut manual processing time 40% • High-throughput ingestion pipeline handling 1M+ records per batch with async streaming parsing • API latency reduced 74% (3.5s → <900ms) via query optimization, API contract redesign, and request minimization • Redis-backed async orchestration with controlled concurrency — 2–3x peak throughput • Microservices containerized on Docker Swarm with JVM tuning and health checks — 50% fewer restarts • React operational dashboards for real-time financial monitoring, integrated with optimized backend APIs AI engineering: • Internal LLM + RAG insights module generating automated financial summaries and dynamic dashboards • Document embedding pipelines and semantic search services over vector databases • Working with LangChain, LangGraph, tool calling, and agentic patterns for enterprise search Tech: Java, Spring Boot, Microservices, Kafka, Redis, PostgreSQL, Oracle, Hibernate, REST APIs, Python, FastAPI, React, Docker, Kubernetes, AWS, GCP, LLM, RAG, Vector Databases, LangChain, LangGraph, MLflow Open to Software Engineer / Backend Developer / Java Developer / AI Engineer roles in Bengaluru, Hyderabad, Pune, Mumbai, Gurgaon, Noida, Kolkata or remote. suryasarkar18@gmail.com

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

codex

cursor

langgraph

Work experience

SDE 2 at Axis Bank, May 2025 - Present · 1 yr 6 mos, Mumbai, Maharashtra, India, - Developed and architected a multi-stage financial approval workflow engine, reducing manual processing time by 40%. - Built a high-throughput Excel ingestion pipeline processing 1M+ records per batch with asynchronous streaming parsing. - Reduced end-to-end API latency by 74% (3.5s → <900ms) via deep DB optimization, API contract tuning, and frontend request minimization. - Developed React-based operational dashboards integrated with optimized backend APIs, improving data visibility and reducing manual reconciliation effort. - Improved peak upload throughput by 2–3x using Redis-backed async orchestration and controlled concurrency. - Containerized and deployed microservices using Kubernetes with optimized JVM/resource tuning and health checks, reducing restart frequency by 50% and improving production stability. - Built and integrated an internal LLM + RAG-powered insights module, enabling automated financial summaries and dynamic dashboard generation.

Software Engineer at Axis Bank, Aug 2023 - May 2025 · 1 yr 10 mos, Mumbai, Maharashtra, India

Software Engineer Intern at LTIMindtree, Feb 2023 - May 2023 · 4 mos, Kolkata, West Bengal, India

Machine Learning Intern at Bluepen.co.in, Oct 2021 - Dec 2021 · 3 mos

Python Developer at CodeSpeedy Technology Private Limited, Jan 2021 - Feb 2021 · 2 mos, West Bengal, India

Education

Bachelor of Technology - BTech, Computer Science, University of Engineering & Management (UEM)

High School, Computer Science, St Paul's Mission School

Public links

github: https://github.com/Suryageeks

leetcode: https://leetcode.com/suryasarkar18