I have always been fascinated by problem-solving, which led me to study computer science as an undergraduate. In my early twenties, I became curious about the financial market and how efficient it really is, so I decided to return to school.
In grad school, I rekindled my interest in Artificial Intelligence, where I led a book club to discuss new research papers in Reinforcement Learning and GANs. I also implemented algorithms from these papers to play video games and generate realistic artificial faces. I published some of this work on GitHub.
I work as a backend engineer, I particularly enjoy designing distributed systems. In another life, however, I would’ve pursued an academic position or become a journalist since I like to research different topics and explain them using simple analogies and stories.
After traveling extensively, leveraging remote work, I decided to return to Seattle and live a semi-slow-paced life, enjoying the little things life has to offer. When I’m not working, I enjoy roaming the wilderness, writing, and hanging out with friends and family. Wilderness reminds me of how insignificant creations we all are, while writing marries my love of ideas with my love of words.
- Project Nash
- Reinforcement Learning Playbook
- Computational Biology
- Monte Carlo Tree Search
- Islamic Timeline (best on phone)
- Karpathy Pong
- Reinforcement Learning Everything
- Everything Financial Engineering
- Reinforcement Learning
- Moravec’s Paradox
- Game Theory
- Reimann Hypothesis
- Foundations of Mathematics
- Monetary Policy
- Theology: Cosmological Arguments, Predestination vs. Free Will, Universal Salvation
- Greek Mythology
- Emotional Development