Backend Developer

• Developed backend services using Python (Flask, FastAPI) to process large datasets for research analytics, improving data throughput by 45%. • Designed RESTful APIs and SQL-based data pipelines to interface with analytical dashboards and machine learning models. • Containerized applications using Docker and orchestrated deployments on AWS EC2, reducing environment configuration time by 60%. • Implemented CI/CD workflows using GitHub Actions to automate build, test, and release pipelines, ensuring consistent deployments. • Collaborated with data scientists to integrate model outputs into production APIs and maintain secure, scalable backend architectures.

Software Development Engineer 2

• Built and optimized microservices in Python and Golang handling 1M+ daily transactions with 99.9% uptime. • Developed secure REST APIs and automated database sync pipelines across PostgreSQL and MongoDB environments. • Implemented Docker-based virtualization and versioned services for seamless integration and rollback capability. • Enhanced backend performance by refactoring asynchronous task queues and optimizing API response times by 35%. • Worked closely with cross-functional teams in Agile sprints, contributing to architecture reviews and design improvements