Udham Singh

I’m a B.Tech (Electronics and Communication Engineering) student focused on turning raw data into clear decisions through data analytics, visualization, and automation. I enjoy bridging analytics with real-world systems—so insights don’t just look good, they work reliably.

In my Summer Intern role for IoT Systems at AirForceStation, I designed an IoT-based patient vitals and IV monitoring system for high-reliability environments. I implemented threshold-based alert logic, built a modular embedded architecture, and performed end-to-end firmware-to-backend integration and debugging to ensure stable operation.

On the projects side, I built “InsightIQ,” an agentic AI-powered data intelligence platform using Streamlit, OpenRouter API, and Python. It automates dataset profiling, trend detection, anomaly analysis, and generates executive summaries via LLM-based natural language querying, with interactive Plotly dashboards and downloadable reports.

I also developed a real-time log monitoring system to detect errors dynamically using polling and event-driven monitoring (watchdog). I added alert generation with timestamping and recurring error tracking, optimized performance by tracking file offsets, and produced clean CLI summaries with runtime statistics—because dependable monitoring matters.