Designed, developed, and deployed backend services in Java using RESTful APIs, improving transaction throughput by 25%.

◦ Built Python-based batch processing and data migration pipelines, reducing overall processing time by 30%.

◦ Integrated external systems through RESTful APIs, ensuring 99% data consistency.

◦ Automated and managed CI / CD pipelines using Jenkins and Docker, cutting deployment time by 40%.

◦ Leveraged AWS services (Lambda, EC2, S3, DynamoDB) to deliver scalable cloud-native solutions.

◦ Participated in design discussions and architecture reviews to improve system scalability, availability, and reliability.

◦ Actively contributed to Agile/scrum practices and applied TDD and code reviews to maintain high code quality and reliability.

◦ Built Python scripts for data scraping and preprocessing, reducing manual effort by 60%.

◦ Contributed to research on distributed systems and algorithm optimization.

◦ Maintained codebase using Git and Linux, supporting reproducible experiments.

Developed scalable Java backend services supporting 10K+ users with 99.9% uptime.

◦ Automated CI/CD pipelines using Jenkins, Docker, and GitHub Actions across staging and production environments, reducing

deployment time by 40%.

◦ Contributed to service design decisions impacting scalability, fault tolerance, and long-term maintainability.

◦ Integrated secure REST APIs with OAuth2, ensuring 99% data consistency between systems.

◦ Built batch jobs processing 5M+ records daily, improving throughput by 50%.

◦ Followed Agile development methodologies for rapid feature development and deployment.