Software Developer at JP Morgan Chase & Co., IL, USA

Designed and developed Spring Boot microservices integrated with Kafka and Zookeeper to handle high-volume financial transaction streams (~2,000+ events/sec), ensuring low latency and fault-tolerant data ingestion. Implemented Kafka producers/consumers to process payment instructions, settlements, and trade confirmations, enabling real-time reconciliation across multiple financial systems. Built and maintained RESTful APIs for secure transfer of transaction and account data, integrating with upstream systems like payment gateways and downstream reporting modules. Enhanced frontend financial dashboards using React.js to display near real-time trade and transaction data, improving visibility for risk managers and traders. Applied Python and SQL for data validation, reconciliation scripts, and anomaly detection, ensuring accuracy of financial records across transaction, settlement, and compliance datasets. Leveraged Git and Jenkins CI/CD pipelines to manage builds, run automated tests, an

Software Developer at Qualcomm (Remote), USA

Developed Python backend microservices using FastAPI and Flask, implementing RESTful APIs to handle high-volume telemetry requests and enabling secure communication between device gateways and backend services. Wrote modular, reusable Python code for data validation, transformation, and exception handling, improving code quality and reducing QA bug reports by 30%. Built and optimized SQL and PostgreSQL queries for telemetry storage, indexing, and aggregation; improved query performance by ~40% for real-time device monitoring dashboards. Deployed applications on Azure Kubernetes Service (AKS) with Docker, writing Helm charts and YAML configs to automate deployments and scaling of microservices. Integrated Azure Functions and Event Hubs for asynchronous message processing, ensuring fault tolerance and handling >500K events/second. Applied unit testing and integration testing using PyTest and unittest, achieving 85%+ test coverage and integrating tests into CI/CD pipelines with Azure DevO

Software Developer at Simmons Bank, IL, USA

Contributed to a financial customer portal modernization project, integrating Feign Client within Spring Boot microservices to streamline RESTful communication and improve scalability of payment and account services. Built a stock search and portfolio lookup engine using Elasticsearch with advanced indexing, cutting query response times by 90% and improving customer experience in real-time financial data retrieval. Implemented Spring AOP with custom annotations to reduce redundant business logic in transaction validation workflows, resulting in a 10% reduction in code complexity and faster enhancements. Developed responsive front-end modules using React.js, Bootstrap, and REST API integration, enabling clients to securely view account balances, stock history, and transactions across devices. Configured CI/CD pipelines in Jenkins with automated build, test, and deploy stages, accelerating release cycles for financial microservices and reducing manual intervention. Designed a secure data

Software Developer at LTI Mindtree, India

Developed and maintained Spring Boot microservices integrated with Angular front end, building REST APIs for appointment scheduling, user management, and reporting modules. Migrated critical business logic from SQL stored procedures to Java services, reducing API response times by 40% and improving scalability for new financial product rollouts. Designed and implemented responsive dashboards and UI modules using Angular, HTML5, CSS3, Bootstrap, improving usability and enabling real-time financial data visualization. Introduced NgRx state management and reusable Angular component libraries, accelerating UI development by 30% and ensuring consistency across client-facing apps. Leveraged AWS services (EC2, S3, RDS, Lambda, CloudWatch, IAM, API Gateway) to deploy and scale microservices securely, improving reliability and reducing infrastructure costs. Applied Redis caching strategies within Spring Boot services, cutting backend latency and improving concurrent request handling during peak