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Vetted JDBC Professionals
Pre-screened and vetted.
Mid-level Software Developer specializing in backend and full-stack FinTech systems
Mid-Level Java Software Developer specializing in Spring and cloud-based web applications
Junior Java Full-Stack Developer specializing in healthcare web applications
Bhuvan Bethapudi
Entry-level Software Engineer specializing in backend and full-stack systems
“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”
Sainath Reddy
Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and React
“Full-stack engineer who built an end-to-end healthcare logistics application on a Microsoft services stack, delivering Spring Boot microservices and a responsive React frontend. Strong focus on production concerns—API performance tuning (indexing/caching/pagination) and microservice reliability (timeouts/retries/circuit breakers)—with Dockerized deployments and standardized Jenkins CI/CD.”
Vitalii Efimov
Junior QA Automation Engineer / SDET specializing in test automation and Python
“QA/automation tester with experience across Cypress/Playwright/Cucumber and API testing who helped a large team with limited QA bandwidth by automating a previously manual Excel verification workflow using pandas. Reported a critical data-leakage defect and found ~40 issues during an old-to-new UI migration, collaborating regularly with developers/designers to improve product quality.”
Entry-Level Technical Support Engineer specializing in trading platforms and Windows troubleshooting
Mid-level QA Analyst specializing in web, mobile, and test automation
Tanushree Kakad
Intern Software Engineer specializing in AI, computer vision, and VR
“Robotics software engineer with hands-on experience integrating vision-based perception with control logic in ROS simulation environments. Focused on debugging real-time timing/data-flow issues, improving system stability through incremental scenario testing in Gazebo, and supporting reliable deployments with Docker and basic CI/CD automation.”