At PES University, I mentor 50+ students in the Software Engineering course, covering code coverage testing, static code analysis, CI/CD, and AI-assisted coding. I also guide students through SRS and SAD documents and UML diagrams, and support lab sessions and grading.
I built NetQA, a Python and pytest framework with six network tests, reproducible fault injection, and a Flask dashboard for telemetry and AI-assisted triage reports.
For my Audio CF Recommendation System, I developed a teacher-student model for cold-start recommendations and evaluated it across 5M+ user interactions and 109K tracks, using statistical tests to assess model variants.
