Surya Sarkar

About Surya Sarkar

Full Stack Engineer with ~3 years of experience building scalable distributed systems and modern web applications.Experienced in developing high-performance backend services, microservice architectures, and React-based platforms. Also working on AI-powered systems including LLM and RAG-based solutions for intelligent data insights and automation.Currently working as SDE-2 at Axis Bank where I design and develop distributed microservices and React-based operational platforms used by internal financial teams.My work focuses on high-performance backend APIs, asynchronous data pipelines, and modern React dashboards for enterprise workflows.Key contributions include:• Designed Spring Boot microservices supporting enterprise financial approval workflows• Built high-throughput ingestion pipelines processing 1M+ records per batch• Reduced API latency from 3.5s → <900ms through SQL optimization and API redesign• Implemented Redis-backed orchestration pipelines improving throughput by 2–3x• Developed React-based operational dashboards enabling real-time financial monitoring• Designed UI components and data visualization interfaces integrated with backend APIs• Containerized microservices and deployed using Docker Swarm with production-grade monitoringAI Engineering Experience:• Built internal LLM + RAG powered analytics module generating automated financial insights• Implemented document embedding pipelines and semantic search services• Exploring AI enterprise search platforms combining vector databases and microservicesTech Stack:Java, Spring Boot, Microservices, Kafka, Redis, PostgreSQL, Oracle, React, React Native, REST APIs, Docker, Kubernetes, LLM, RAG, Vector Search, AI SystemsReach me at -••••••••@gmail.com

Experience

1. Sde 2 - Manager

   Axis Bank

   May 2025 — Present · Mumbai, IN

   Developed and architected a multi-stage financial approval workflow engine, reducing manual processing time by 40%- Built a high-throughput Excel ingestion pipeline processing 10Lakh+ 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 via Docker Swarm 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.

Education

• St Paul's Mission School

  High School, Computer Science

  2005 — 2019

• University of Engineering & Management (UEM)

  Bachelor of Technology - BTech, Computer Science

  2019 — 2023