MRS @ Meta | x-Autopilot | x-quant (LLMs for RecSys)

Competitive generalist ranked top 0.56% in Google Code Jam and won 9k in ETH Global Paris. I’ve worked in GenAI, autopilot, cryptography, quant, ranking, blockchain protocol research, all at the core function in the best companies as extremely fast learner. Believing in the 80/20 rule, I enjoyed extracting common structures from diverse domains and it fosters my adaptability and contributes to my first-principled approach in problem solving. However, I have been attracted to generative models and reinforcement learning recently both technically and by their huge potential impact on how we interact with information. Some Highlights - Ranked top 0.56% in Google Code Jam Round 3 - Won 9k in ETH Global Paris, a global hackathon with thousands of participants - Open source contribution to Tesla Autopilot's fixed contains library (https://github.com/teslamotors/fixed-containers/pull/147) - perfect GPA at Georgia Tech with advanced ML courses focusing on generative modeling, large foundational models, reinforcement learning, and efficient ml. - A+s on theory courses during undergrad (Advanced Algorithm, Advanced Linear Algebra, Quantum Information and Computation, Theoretical Aspects of Modern Cryptography, etc.)