Headline

SDE 2 @ BNY | Java, Spring Boot, Kafka, WebSocket, AWS | Distributed Systems & AI Agentic Solution| IIT Kharagpur

About

Backend / Full-Stack Software Engineer with 3+ years of experience building scalable distributed systems for enterprise fintech and AI platforms. Currently working at Bank of New York (BNY) on the AI Hub Platform, where I design and build Java + Spring Boot microservices powering enterprise AI and data governance systems used across engineering teams. 🔧 Core Tech Stack • Distributed Systems, Microservices, Event-Driven Architecture • Concurrency, Multithreading, Synchronisation • Java (8/11/17), Spring Boot, Hibernate (JPA), REST APIs, WebSocket • Kafka, Event Streaming, Asynchronous Processing • SQL (Oracle, PostgreSQL), Query Optimisation, Caching • Angular, JavaScript • Docker, Kubernetes, GitLab CI/CD, AWS (S3, EC2, etc.) • LLM Integration, RAG, Semantic Search, Vector Embeddings ⚙️ What I Do • Build scalable backend systems for high-volume, real-time applications • Design reliable event-driven architectures with strong consistency guarantees • Solve complex concurrency and performance problems across distributed systems • Own features end-to-end from system design to production deployment 🎯 Open To Backend / Full-Stack roles in distributed systems, fintech platforms, and AI infrastructure 📩 prosenjitkundu210@gmail.com

Location

Bengaluru

AI stack

cursor

opencode

claudecode

Work experience

Full Stack Developer II at BNY, Jul 2023 - Present · 3 yrs 2 mos, Chennai, Backend-focused Software Engineer building scalable distributed systems and AI-driven enterprise platforms at Bank of New York. • Built client-facing enterprise platforms for data readiness and governance used across multiple business units • Architected Java Spring Boot microservices handling 50K+ daily requests with 99.9% availability • Designed dynamic rule-driven systems with complex questionnaire workflows and conditional logic • Implemented concurrency-safe systems using multithreading, synchronization, and pessimistic locking • Engineered relational data models for response mapping, audit tracking, and workflow consistency • Built agent-based LLM workflows with RAG for financial document analysis and intelligent insights • Developed semantic search and recommendation systems using vector embeddings and Elasticsearch • Implemented Kafka-based event-driven pipelines and WebSocket channels for real-time, scalable processing • Optimized database queries and caching strategies, reducing backend latency by 35% • Owned end-to-end delivery, CI/CD pipelines, and production stability on AWS and Kubernetes with monitoring tools

Education

Master of Technology, Computer Software Engineering, Indian Institute of Technology, Kharagpur

Bachelor of Technology, Computer Software Engineering, Cooch Behar Government Engineering College