Building AI systems
that understand humans
I work at the intersection of human data and machine intelligence. Currently shaping AI development at Meta Superintelligence.
I work at the intersection of human data and machine intelligence. Currently shaping AI development at Meta Superintelligence.
A timeline of where I've been and where I'm heading
Strategic projects in human data collection and posttraining pipelines for next-gen AI.
Led agentic AI workstreams with FAIR. Contributed to open-source agent research.
Data labeling improvements and vendor partnerships. Advanced to team lead.
Multiomics data analysis studying epigenetic modifications and endothelial dysfunction.
Community support and social impact initiatives in the Capital Region. 518cares.org
Built PySpady, an open-source library for spatiotemporal tensor decomposition on large-scale datasets.
Built internal tooling and secure access management systems serving 4K+ employees using Python, Flask, and Dremio Data Lake.
B.S. in Computer Science, Summa Cum Laude.
Scaled sneaker reselling to $100K+ ARR by 16. Built custom bots and scripts.
A bit more about who I am beyond the work
I started building bots to automate sneaker reselling at 16—scaling that to six figures taught me more about systems thinking than any textbook. That scrappiness led me to computer science, then to Meta, where I now shape how AI learns from humans.
Today I lead human data strategy for Meta's superintelligence efforts. My grandmother's diagnosis with a rare gallbladder cancer also pushed me toward exploring AI in medicine—a frontier I'm actively working to enter.
I also founded 518 Cares, a nonprofit serving the Capital Region—because building things that matter isn't limited to code.
Listed alphabetically, not by importance
Nonprofit organization focused on community support and social impact initiatives in the Capital Region of New York.
Building executable eval rubrics from real expert workflows and process-linked reward models for RLHF training data. Client: [redacted]
Autonomous 24/7 cryptocurrency trading bot operating on the Aster DEX, powered by Grok API and running on a Linux server in Amsterdam.
iOS personal trainer using computer vision to detect jump shot form and provide real-time voice feedback for improvement suggestions.
College football AI data layer serving as a coaching assistant to professionals, designed to eliminate the need for traditional data analysts.
Dual-strategy system for prediction markets: Python sentiment analysis for directional trades + Rust HFT engine for arbitrage.
Bayesian optimization techniques applied to Premier League teams and players to analyze and predict hypothetical match scenarios.
Sparse dictionary encoding Python library developed as an extension of several machine learning research papers.
I'm always open to new opportunities and conversations