Architect enterprise-grade financial analytics platforms using Java (Spring Boot) and React.js for real-time market data, develop and optimize RESTful APIs, improve data security via Spring Security/JWT/OAuth 2.0, automate CI/CD with Jenkins/Docker/Kubernetes/AWS ECS, implement RAG with LangChain and OpenAI embeddings, and enhance frontend performance with modular components.

Full Stack Developer at Bloomberg

November 1, 2024 - November 14, 2025

Oversaw enterprise-grade financial analytics platforms by architecting and deploying full-stack solutions with Java (Spring Boot) and React.js, enabling real-time access to market data and faster trade decisions. Developed and optimized RESTful APIs using Spring Boot and AWS Lambda, integrating Bloomberg datasets with external financial feeds to maintain 24/7 data availability and seamless synchronization across trading systems. Enhanced backend scalability and performance through Spring Data JPA, multithreading, and PostgreSQL tuning, reducing average query time from 1.8 seconds to under 1 second while handling millions of daily financial transactions. Strengthened data security with Spring Security, JWT, and OAuth 2.0, achieving SOC 2 and GDPR compliance. Automated pipelines with Jenkins, Docker, Kubernetes, and AWS ECS, reducing manual deployment effort by 10+ hours per sprint. Built a Retrieval-Augmented Generation (RAG) system using LangChain, OpenAI Embeddings, and Pinecone, enab

Backend Developer at Infosys

July 1, 2023 - July 1, 2023

Delivered backend systems using Node.js, Express.js, and RESTful APIs to enable seamless communication between enterprise modules, reducing data synchronization delays and improving client reporting accuracy. Migrated relational databases from MySQL to PostgreSQL, refactoring queries, optimizing indexing, and implementing partitioning to handle 10M+ records. Modernized legacy backend infrastructure by decomposing monolithic applications into Dockerized microservices orchestrated via Kubernetes, cutting deployment time from 2 hours to under 30 minutes and enabling multi-region scalability. Optimized API performance through caching, MongoDB and PostgreSQL query tuning, and load balancing, lowering average response time from 1.5 seconds to 600 milliseconds for high-traffic systems. Established robust authentication and authorization with JWT and OAuth 2.0. Built event-driven microservices leveraging Redis, RabbitMQ, and Node.js Streams to process over 5 million financial transactions dail

Backend Developer at Infosys

April 1, 2021 - July 1, 2023

Delivered backend systems using Node.js and Express.js to enable seamless communication between enterprise modules; migrated MySQL to PostgreSQL with optimized queries and partitioning to handle 10M+ records. Decomposed monolithic architectures into Dockerized microservices orchestrated by Kubernetes, enabling multi-region scalability. Optimized API performance through caching, MongoDB and PostgreSQL tuning, and load balancing; improved average response time from 1.5s to 600ms for high-traffic systems. Implemented robust authentication with JWT and OAuth 2.0, strengthening data protection and enterprise-grade compliance. Constructed event-driven microservices with Redis, RabbitMQ, and Node.js streams to process over 5 million transactions daily with fault tolerance. Engineered CI/CD pipelines using Azure DevOps, Jenkins, Git, and Docker, reducing manual effort by 8+ hours per sprint and enhancing delivery consistency. Strengthened system stability with unit/integration tests (JUnit, Mo