About Me

I'm Madhusoodhan T.G., a Computer Science graduate student at Illinois Institute of Technology, Chicago. I enjoy building end-to-end systems—everything from low-level Linux tweaks to user-facing apps and practical AI/ML.

My projects span computer vision, agentic LLMs, BLE/IoT, and Flutter: a Tire Pressure Monitoring System app that parses broadcast packets into real-time analytics which I built for a company (UCAL Ltd.). Interfacing this app with the hardware gave me an amazing experience, MoneyMan for fast, offline-friendly personal finance, and Zeta, a local AI assistant powered by Ollama + Gemma with memory and tooling.

I care about clean architecture, measurable performance, and shipping iteratively. Lately I've been exploring radio access networks (RAN), 6G/7G ideas, and how agentic systems can automate real workflows safely.

I write to learn in public and share what works. Off-screen you'll find me tuning a Linux setup, sketching new app flows, or catching an F1 race.

Interests: Computer Vision, Agentic systems, RAN/7G research, Flutter, and Linux performance.

Skills: Python, C++, TensorFlow, PyTorch, Arduino, Raspberry Pi, Unity3D, and more.

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