Software Engineer at JP Morgan Chase & Co. PA, USA

Developed 12+ scalable backend microservices using Python with FastAPI and Flask to build high-performance RESTful APIs supporting 100K+ daily financial transactions across enterprise banking applications. Designed and implemented microservices architecture with API gateway routing, asynchronous processing, and distributed caching using Redis, improving API response times and reliability. Integrated backend services with AWS (EC2, S3, Lambda, API Gateway, CloudWatch) for auto-scaling deployments and enhanced observability. Built and optimized data pipelines processing 5M+ transactional records for analytics, reporting, and operational dashboards. Implemented machine learning models for transaction pattern analysis, anomaly detection, and fraud risk assessment. Collaborated with cross-functional teams in Agile environments, contributing to architecture design, code reviews, CI/CD deployments, and production support. Implemented OAuth2/JWT-based authentication for secure access across 15

Software Engineer Intern at HCLTech PA, USA

Assisted in developing backend services using Python with FastAPI and Flask to build RESTful APIs for enterprise applications and internal data services. Implemented data processing and validation logic using Python and SQL to prepare structured datasets for analytics. Contributed to event-driven microservices using Apache Kafka to enable asynchronous communication and scalability. Participated in unit testing with PyTest and collaborated in an Agile environment with Git-based workflows.

Software Engineer at Hexaware India

Developed backend services using Python with Flask and FastAPI to build scalable RESTful APIs for enterprise business applications. Designed and implemented API integrations with internal and third-party systems, enabling reliable data exchange and interoperability across distributed services. Implemented backend data processing and business logic using Python and SQL, handling data validation, transformation, and persistence for transactional and reporting systems. Deployed and managed backend services on AWS and implemented caching layers for APIs, improving system performance and reducing repeated database queries for enterprise applications. Wrote optimized SQL queries using PostgreSQL and MySQL and collaborated in Agile development environments, contributing to code reviews, testing, and deployment of backend features.

Junior Software Engineer at MetaSystems India

Developed backend services using Python with Flask and FastAPI to build RESTful APIs that supported internal business applications and enabled efficient data exchange across multiple systems. Implemented backend data processing logic using Python and SQL, handling data validation, transformation, and storage for operational workflows and reporting systems. Built secure API endpoints using Python with Flask and FastAPI, enabling integration between internal services and improving accessibility of application data for downstream systems. Wrote and optimized SQL queries using PostgreSQL and MySQL to efficiently retrieve, store, and manage large volumes of application data used in backend services. Assisted in debugging, testing, and maintaining backend applications using Python, PyTest, and Git, contributing to improved code quality, stability, and smooth development workflows within the engineering team.

Software Engineer at JP Morgan Chase & Co.

Developed 12+ scalable backend microservices using Python with FastAPI and Flask to build high-performance RESTful APIs supporting 100K+ daily financial transactions across enterprise banking applications. Designed and implemented a microservices architecture for 8+ distributed services, enabling secure data exchange and improving system reliability by 30%. Built API gateway routing, asynchronous processing, and Redis-based distributed caching to optimize response times for 100K+ daily transactions. Integrated backend services with AWS (EC2, S3, Lambda, API Gateway, CloudWatch) for auto-scaling deployments and enhanced observability. Built and optimized data pipelines processing 5M+ transactional records using Python and SQL. Applied ML models (Pandas, Scikit-learn) for anomaly detection and fraud risk analysis. Collaborated with 10+ engineers in Agile teams, contributing to architecture design, code reviews, CI/CD, and production support. Implemented OAuth2/JWT-based authentication ac

Software Engineer Intern at HCLTech

Assisted in developing backend services using Python with FastAPI and Flask to build RESTful APIs for enterprise applications and internal data services. Implemented data processing and validation logic using Python and SQL, helping prepare structured datasets for analytics and reporting. Contributed to the development of event-driven microservices using Apache Kafka to enable asynchronous communication and improved data processing scalability. Participated in unit testing and debugging with PyTest to improve API reliability. Collaborated with senior engineers in an Agile environment, contributing to sprint tasks, code reviews, documentation, and deployment activities using Git-based workflows.

Software Engineer at Hexaware Technologies

Developed backend services using Python with Flask and FastAPI to build scalable RESTful APIs for enterprise business applications and operational workflows. Designed and implemented API integrations with internal and third-party systems, enabling reliable data exchange across distributed services. Implemented backend data processing and business logic using Python and SQL, including validation, transformation, and persistence for transactional and reporting systems. Deployed and managed backend services on AWS, implementing caching layers to improve performance and reduce database load. Wrote optimized SQL queries for PostgreSQL and MySQL and collaborated in Agile teams, contributing to code reviews, testing, and deployment.