Tech has been part of my life for as long as I can remember. As a toddler, I was dismantling remotes and rewiring toys. By middle school, I was building computers and teaching myself to code. At 17, online chess led me to discover a vulnerability in an online chess platform that used a weak random seed that reset daily. I taught myself to code and developed a program to exploit it (ethically, of course), and was hired to help fix their system. Since then, I've been obsessed with finding these hidden patterns everywhere - using code to decode systems that everyone else assumes are random. Since then, I've been obsessed with finding ways to apply algorithmic reasoning—through machine learning, game theory, and probabilistic thinking—to real-world conflict and decision-making.
I'm excited by projects that are ambitious, creative, and technically challenging. I enjoy turning complex ideas into intuitive and functional digital experiences, whether it's a rough concept or a fully formed vision. When I'm not studying or coding, you'll find me at the gym finishing training with my BJJ team and pushing my limits with lifting and running. I also like to play poker (my main source of income), and eat ramen (my main source of expenses).
I'm currently working on projects in artificial intelligence and quantitative finance. My research interests include machine learning applications in tech, algorithmic trading strategies, and the mathematical foundations of cryptographic systems.
In the past, I've always found great success in collaborating and connecting with new people. I'd love to connect, so don't hesitate to reach out.