Anjineyulu Boya
@anjineyuluboya
I build scalable Java Spring Boot APIs, optimize SQL performance, and automate reliable cloud-native deployments.
United StatesWhat I'm looking for
I'm building Java Spring Boot RESTful APIs for Cognizant, improving response time by 25% while supporting modular backend services.
I optimize SQL queries, stored procedures, and database schemas across Microsoft SQL Server and PostgreSQL, with a focus on data integrity, scalability, and lower latency. I've also automated Jenkins CI/CD pipelines that accelerated deployment cycles by 40%.
Previously at Infosys, I developed backend APIs for high-volume transactional platforms and streamlined CI/CD processes, cutting deployment time by 87% and increasing release frequency by 60%. I work closely with DevOps and QA teams to deliver Docker- and Kubernetes-based services.
My earlier work in Python, OpenCV, and TensorFlow included real-time face recognition and driver-monitoring systems. I'm currently completing my master's degree at Purdue University Northwest.
Experience
Work history, roles, and key accomplishments
Engineered Java Spring Boot RESTful APIs, improving response time by 25%. Automated Jenkins CI/CD pipelines, accelerating deployment cycles by 40%.
Developed and maintained Java Spring Boot RESTful APIs integrated with Microsoft SQL Server and IIS. Streamlined Jenkins CI/CD pipelines, cutting deployment time by 87%.
Internship
Verzeo
Dec 2020 - Jul 2021 (7 months)
Developed a Python and OpenCV video processing pipeline for real-time face detection. Implemented TensorFlow-based facial recognition logic and integrated SMTP email notifications.
Internship
Computer Society of India & Global Cyber Security Forum
May 2020 - Oct 2020 (5 months)
Designed a Python-based driver monitoring system using computer vision to detect fatigue. Implemented adaptive image processing and inference logic to reduce false alerts.
Education
Degrees, certifications, and relevant coursework
Purdue University Northwest
Master's
2024 -
Grade: CGPA: 3.87
Pursuing a Master's degree with a CGPA of 3.87, expected to graduate in May 2026.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
Skills
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