About

This site is home to six self-directed courses I run in parallel — Autonomy ML Systems + Embedded Robotics + Vision + Jetson, a C++20 + Vulkan self-driving simulation engine, NLP + Deep Learning + LLMs, Low-Level CS, a 20-week Mathematical & Theoretical Foundations track underneath them all, and a 10-week bench-based Microelectronic Circuits & Signal Processing course — plus worked proof sets from the textbooks that underpin them.

I work full time in distributed systems and mobile device management. These courses are my hobby-outside-work project — built during weekends, likely over 1–2 years.

AI plays a deliberately limited and fully disclosed role here. The weekly lecture notes — the overviews, concept summaries, reading guides, and implementation/benchmark plans — are drafted with AI assistance so each week has a consistent structure to study from. The substance is mine: every math proof and exercise solution is worked by hand on paper first, then converted to LaTeX/KaTeX/MathJax using AI for typesetting only, and all code is written by me. The whole point is to solidify and revisit concepts from my undergrad years and to rigorously self-learn new ones, and that deep understanding only comes from producing the proofs and the code myself. Overuse of generative AI has been shown in studies to weaken exactly the kind of understanding I’m trying to build — which is why the reasoning and the implementation stay hand-done.