Robotics & autonomy
Path planning, sensor fusion, and control for robots that have to operate where GPS and certainty run out.
I'm Stanley Jacob, an engineer who likes living where hardware meets intelligence. I studied electrical engineering at UT Austin (circuit design, embedded systems, signal processing) and computer science at Stanford (AI, generative models, compilers). Since then I've built perception, autonomy, and high performance machine learning systems, and I keep coming back to the same thing I love: using math and software to make hard problems tractable.
Path planning, sensor fusion, and control for robots that have to operate where GPS and certainty run out.
Generative models, computer vision, and deep learning, taken from a research idea all the way to a trained, deployed system.
C++, CUDA, and compiler level work to get transformers and data pipelines running at the speed the hardware actually allows.
An EE foundation in circuits, embedded systems, and DSP that shapes how I reason about the software on top.
A live Uptime & SLO Monitor I built and deployed: it probes real endpoints on a schedule, tracks availability and latency against per service objectives, and fires alerts when the error budget is burning too fast. Less flashy than robots, but it's the kind of reliability discipline I bring to everything else.