Saima Gnits

I’m a Computer Science engineer pursuing M.Tech, and I thrive on curiosity-driven problem solving—especially where AI meets operational reliability. In my Graduate Engineer Trainee role at Alstom, I worked on the Radio Block Center (RBC) module in ETCS, supporting host-based validation with simulators and analyzing execution logs to verify train-track behavior and detect deviations.

I also focus on turning complex knowledge into actionable tools: I built an agentic RAG “Incident Copilot” that reads logs, matches runbooks, classifies severity, identifies likely root cause, and recommends next actions with cited evidence. On the research side, I created a trust-aware federated learning framework for CPS to classify machinery faults vs. cyber-attacks without centralizing client data, adding SHAP explainability. Beyond AI, I’ve built a 3D-printed assistive robotic arm and a full-stack MERN health platform, and I enjoy improving test efficiency through automation, batch execution, and Lua scripting.