I give workers and organizations the methodology, tools, and collaborative spaces to reinvent their work on their own terms.

I prioritizes effectiveness, cognitive depth, responsibility, and meaningful work.

What I am and what I am not

I am not an AI productivity advisor

I do not optimize for speed or output volume as standalone goals.

I advocate for goal-oriented productivity:

Speed and volume can be an outcomes of working with me, and they often are. But it happens as a consequence of designing toward what matters most, rather than speed for the sake of it alone. This is what I call goal-oriented productivity.

I am not in the camp of AI hype or AI doom

Both make extreme claims not grounded in evidence, and both treat AI as the main actor in a story that is really about people, organizations, and the decisions they make.

I am interested in the decisions behind AI adoption:

Who is making them, whether they are the right ones, and how to change them when they are not.

I am not an AI ethics advisor

I worked as an AI ethicist for years, but I do not practice AI ethics as a standalone discipline.

I treat ethics and work procedures as a unified topic:

My industry experience and academic research convinced me that treating ethics as a separate track from AI development, adoption, procurement, investment, or any other work procedure produces worse outcomes on both sides.

I am not a theoretical philosopher or academic researcher

My PhD in philosophy is where I started to develop my views on AI and AI ethics. Since then I have expanded to social science, and I publish academic papers in top journals and collaborate with academic institutions. But my audience is not academics and I am not bound by the incentive structures of academia.

I am an engaged philosopher and researcher

I use academic methodologies and rigor to develop views from what is happening in the world, in service of changing it, and with the people living through it. I use what I learn to inform my industry work, and vice versa. This is what is sometimes called engaged philosophy and research.

How I got here

I kept working in tech on and off for the last 15 years, including quality assurance, product management, and AI ethics roles. This gave me a cross-sectional view on the software development life cycle.

2003: Started working in tech

I started my career wanting to be a chemist! I gained foundational coding skills and mindset that still underly how I approach tool creation.

2009: Physics & Chemistry BSc

I came to get a phd in philosophy at UC Berkeley. I did not think I would get culture shock. But I did. I learned that English is not the same as US English, not to mention California English!

2014: Moved to the US

It was about how values shape machine learning as a discipline. Accepted to FAccT, the top AI ethics journal.

2019: First AI ethics paper published

Achieved what my younger self would consider impossible!

I decided to pivot to industry because I want to change the AI industry, not just write about it.

2021: Philosophy PhD, UC Berkeley

I worked as a solopreneur until this point. It was time to make it official! The name "TechBetter" is a call to action to do tech better.

I consulted for dozens of organizations and set on industry and government committees on anything responsible AI: development, procurement, investment, grantmaking, and adoption.

I worked with all types of organizations, from startups, to corporations, VCs, to philanthropic foundations, to non-profits, to universities, to government organizations.

2023: Established TechBetter

2025: Future of work aha moment

I realized that what I care about most is building a better future for the workforce. I fell in love with this topic, developed an approach, trainings, and tools, and worked with dozens of people and organizations.