Having accumulated a long list of business and personal problems, I started using AI tools to build various pieces of 'software for one' to solve them. Surprised by the meaningful impact they delivered, particularly given their simplicity, I felt encouraged to build more hyper-custom solutions and uncover the implications of this new style of software development.

I cofounded a SaaS company called Ocams. It was among the early systems for automating video recording and delivery for tennis players.

In my interactions with clients, I kept noticing that technology often faltered not because of technical shortcomings but because there was no interface capable of delivering it smoothly to users with complex and diverse behaviors, creating a 'last mile' problem.

Before Ocams, I spent many years in academia, largely due to visa restrictions.

I started out studying molecular biology as an undergraduate at MIT. Later, I managed a neurobiology laboratory and helped develop case-based medical training simulations at Harvard Medical School. I then pursued a PhD at Wharton, where I built computational models to study how different choices and attributes help people learn better and make more accurate predictions. While at Wharton, I was also introduced to complexity science through a summer program at the Santa Fe Institute.

Around 2015, I received my green card, which allowed me to pursue projects outside academia. After years of theoretical work, I was eager to create something that delivered value directly to people. Tennis happened to be my obsession at the time, and I observed a need in the tennis community that prompted me to start Ocams.

I grew up in Jakarta, Indonesia, in a family that ran an egg business.