This blog is where I document the things I'm building, the papers I'm reading, the concepts I understand deeply enough to explain clearly.
If you're here because you need an engineer rather than something to read, the about page has more info.
What you can find here:
- Crash Courses: Pedagogical deep-dives on topics I know well or am actively learning like reinforcement learning, control theory, numerical optimisation, robot perception. Not tutorials for beginners, but explanations for people who want to understand the mechanics, the maths, the intuitions, the gotchas.
- Projects: Implemented prototypes and proofs of concept. Code, results, what worked, what didn't. Things I've actually built, from RL agents to optimisation solvers to computer vision pipelines.
- Notes: Reading notes, thinking through problems, observations from study and practice. Occasionally, I write field notes of my experiences. Less polished, more honest.