Shubhi Goel

Debug and resolve production defects in a React Native live-classroom application built with WebRTC and mediasoup, tracing failures through component state, data flow, and real-time socket events. Verify fixes using TypeScript type-checking and Jest, and collaborate with QA to reproduce regressions.

Developed an RFI automation system that scraped websites, extracted information using an LLM, and populated standardized templates. Built an SQL chatbot that converted natural-language questions into SQL queries and executed them against a database.

Designed and tested a software-based data diode using TCP/IP communication for controlled one-way data transfer. Integrated anomaly detection for outbound network traffic and developed the implementation in Linux using Python and Bash/Shell scripting.

Developed an end-to-end machine-learning pipeline covering preprocessing, feature engineering, model training, evaluation, and deployment. Trained classification models and used ROC-based threshold tuning and SHAP for model evaluation and interpretation.

Developed a real-time ReactJS dashboard using REST APIs and dynamic filters for 3 cross-functional teams. Built 8+ reusable UI components and reduced manual data lookup time by approximately 60%.

Grade: 8.43/10

Pursuing a Bachelor of Engineering in Electronics and Instrumentation Engineering with a CGPA of 8.43/10, expected to graduate in 2027.