Backend-focused Software Engineer specializing in scalable Python automation, CI/CD pipeline integrations, and device lab infrastructure. Designed validation frameworks for device-generated data across Android, iOS, wearables, and AR, eliminating manual testing across 40+ environments. Improved CI reliability by identifying infrastructure bottlenecks and reducing execution latency across production device setups. Built monitoring, diagnostics, and dashboards to improve system health, failure triage, and release throughput. Prototyped LLM-powered automation using prompt engineering and retrieval-based context injection to enhance validation workflows and developer productivity.

Assessed and evaluated students’ work based on their performance

Monitored students’ performance provided feedback and guidance in course development and assisted them with academic issues

Assisted head faculty member with classroom instruction materials, exams, and record keeping.

• Worked with the Chief Data Officer to define the business rules and client-facing offerings

• Created and Executed testing Plan for an end-to-end test and testing the Control room with the Dashboards

• Worked in data environment (Mongo and Python) on Azure.

• Developed prototype for the Insight Analyzer to visualize the data using Metabase and Excel