Developed modular Java Spring Boot and Python Flask microservices within an Agile SDLC on Windows servers to improve throughput; optimized SQL joins, caching, multithreading, and testing, reducing latency and enhancing backend reliability; automated deployments with Docker and GitHub Actions and integrated APIs and real-time dashboards with Kafka in cross-functional collaboration.

Software Developer at Purdue University Northwest

May 1, 2025 - May 1, 2025

Built C++ and Python microservices for research applications deployed on Azure App Services; improved API efficiency by 33% and raised ML model F1-score by automating feature engineering and training with TensorFlow/Scikit-Learn; containerized services with Docker/Kubernetes and automated validation with PyTest CI/CD.

Software Engineer at Power Ads

July 1, 2023 - July 1, 2023

Reduced ad delivery latency by 40% and scaled request handling by 50% by deploying fault-tolerant REST APIs on AWS ECS with Unix/Linux Docker environments and dynamic load balancing; shortened release cycles by 45% by embedding TDD and automating CI/CD pipelines, delivering features and real-time updates.

Web Developer at Oasis Infobyte

July 1, 2022 - July 1, 2022

Enhanced web performance by 35% with responsive React/Angular UIs; increased user retention by 30% through frontend caching, GraphQL (Apollo Client) integration, and component testing; improved usability via design and accessibility improvements.

Back-end Engineer Intern at Immensphere

April 1, 2022 - April 1, 2022

Optimized backend throughput by 35% through Django ORM refactoring and MongoDB schema tuning; reduced API response time by 40% via Node.js RESTful APIs and async processing; lowered bug incidence by 30% by automating tests and containerized deployments with Docker.