I spent the last six months in Thailand with family, a stretch I treated as a chance to learn a new culture the way you can only learn one from inside it. I am back in DC now.
The other thread is a deep exploration of the current wave of generative AI. I have spent time across most of the content stack, Midjourney, ComfyUI, Runway, ChatGPT, Gemini, and Claude, and most of the agentic stack too, Claude Code and Codex in particular, running through token budgets on the Max plan more often than I care to admit. I have used that time to build web and iOS apps, automate the repetitive corners of my week, and assemble workflows that do the work I used to do myself. I have also set up OpenClaw as a personal assistant, which now carries a growing share of the coordination I used to handle manually.
Taken together, this is a productivity refactor, a rebuilt operating system for daily life. The shape of it is the same loop I apply at work, human in the loop at first, human on the loop as the system proves itself, and, in the parts that will take it, human off the loop.
Alongside all of this, I am exploring new product ideas and looking for opportunities in AI product management.
I started as a software engineer at Lenovo, a role I approached as a way to learn. I cared about engineering rigor, test driven development, and the aesthetic side of the craft, the elegance of architecture and the discipline of performance.
Tech lead came next, a role I think of as being the safety net for a team while building it up. The work combines execution and direction, holding delivery together while investing in the engineers who will carry it forward.
Two years as a technical product owner followed, where the work moved from execution into strategy. Defining what to build and, more importantly, what not to build, and doing it through influence rather than authority.
I finished with an MBA at Oxford on the Dean's List, a period of reflection as much as formal education. The program itself gave me the fundamentals of business, markets, finance, strategy, and negotiation, alongside work in machine learning and predictive analysis. Just as valuable was the wider Oxford experience, the chance to cross into other disciplines, the college life and events, and long stretches of conversation with some of the brightest people I have encountered. The cohort came from dozens of countries, and a year spent debating and building ideas alongside them left me with a genuinely global view.
I care about a small number of things deeply. I travel as a way to learn, to pick up perspectives I cannot collect from a desk in one place. When I am not travelling, most of my hours go outdoors, hiking and cycling, and nature is where I feel most at home. I take photographs, mostly of quiet rooms and landscapes, and I spend clear nights on astrophotography and stargazing, which I treat as a practice in zooming out, in thinking on the scale of centuries rather than sprints, and in keeping the end game in view. Some of the photography lives at @mikemeetslens, and the astrophotography at @mikemeetsastro.
Digital painting is the other side of that, a place where I let creativity move without a brief. I also read the Buddhist classics on weekends, which is where I go for a quieter mind and a kinder one, and they have slowly made me more grateful, more forgiving, and more tolerant than I used to be.