Pavan Polagani
Software Engineer (Full Stack) | Web, Backend & Testing | Java • Python • SQL • REST APIs
- Role
- Software Engineer Intern at Softech Technology Group Inc
- Location
- Manchester, NH, US
- LinkedIn followers
- 500 followers
About Pavan Polagani
Entry-level Software Engineer with hands-on experience contributing to backend systems and quality-driven development in production environments. My work has focused on implementing backend features, validating system behavior, and supporting releases, giving me a strong understanding of how applications are built, tested, and maintained end-to-end-> I’ve worked primarily with Python, SQL, and REST APIs, contributing to backend logic, data validation, and reliability improvements across multiple workflows. In addition to development tasks, I’ve performed API, integration, and backend testing to verify business logic, identify edge cases, and reduce downstream production issues-> I’ve collaborated closely with engineering and QA teams in Agile environments, supported application releases by validating runtime behavior and assisting with post-deployment issue resolution. I’m comfortable working across codebases, test layers, and deployment workflows, and I place a strong emphasis on writing maintainable code and building systems that behave predictably under real-world conditions-> Authorized to work in the U.S. on F-1 OPT.
Experience
Software Engineer Intern
Aug 2025 — Present
Built backend features in Python and SQL supporting 5+ internal processes and customer-facing workflows, improving data consistency and reducing manual follow-ups by ~20%-> Improved backend validation and data-handling logic by reviewing and refining existing code, helping reduce recurring data issues by ~25–30% and stabilizing production behavior-> Delivered smoother releases by validating application behavior and resolving 10+ production and post-deployment issues, cutting release-related defects by ~20%-> Integrated and validated REST APIs across backend services, ensuring consistent data flow between systems and reducing cross-service failures and rework by ~15%
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