Gopalakrishna Kondabolu

I’m a final-year Computer Science student (graduating 2026) with a strong SDET mindset—combining front-end development with software testing and Gen AI concepts. I build web interfaces and design/testing chatbot AI applications, with a focus on root-cause analysis, reliability, and automation speed.

In my internship as a Frontend Developer Intern at Elevate Labs, I rebuilt 3 legacy UI screens using HTML5/CSS3/JavaScript and applied functional software testing principles to fix mobile horizontal scroll issues. I identified and resolved 8+ cross-browser rendering defects by analyzing logs and CSS specificity conflicts in Chrome DevTools, and I connected a form UI to a REST API while collaborating in Agile/Scrum to align payloads and handle HTTP error states.

On my projects, I’ve applied testing methodologies directly to user-facing Gen AI experiences. In Smart Healthcare Chatbot, I built a multi-screen React.js SPA and implemented reusable component testing (InputBox, ResponseCard, LoadingSpinner), reducing UI build time by ~40%. I also tested and integrated async REST API calls to GPT-4o and Gemini backends, analyzing loading states, error boundaries, and retry logic to resolve API-latency defects.

I’m especially interested in refining AI outputs and accelerating test automation with practical AI tooling. In Al Negotiation Bot, I validated response accuracy and maintained tone consistency across 4 tone modes through iterative LLM output testing and refinement. With Job-Agent, I’m building an ATS resume auditor using Gemini AI, and I’m developing automated test scripts and CI/CD testing efforts (Git/GitHub) to support an auto-optimization loop that rewrites and scores resumes.