About

I develop AI technologies at Meta where I contribute to Codec Avatars and previously Orion Augmented Reality Glasses. Before Meta, my career spanned Silicon Valley startups, Microsoft, and NASA, where I contributed to Microsoft HoloLens and the NASA Mars Helicopter. I like working at the intersection of math, code, and leadership.

Expertise:

Engineering (systems design, implementation, optimization) in modern C++, CUDA, and Python using traditional and agent-driven approaches.
Research and Development (scientific literature review, algorithm development, evaluation, technical communication).
Technical Leadership (listening and influencing, organizational roadmap development and execution, talent development).

Staff Engineer, Machine Learning Systems (2020 - Present)
San Francisco Bay Area, CA & New York, NY
Led across teams creating systems for training and inference of machine learning models underpinning products such as Codec Avatars, Orion Augmented Reality Glasses, and Instagram Ads Auto-Optimization. Specialized in research-to-product/production in collaboration with pure research teams. Contributed production code and technical direction in areas such as algorithm development, systems engineering, performance optimization for CPUs and GPUs, and general software engineering.
Regularly delivered organization-level impact as an individual contributor and as a technical lead of >10 person engineering efforts. Examples include…
- led a team that achieved a 90% acceleration and multi-billion dollar projected cost reduction of a machine learning model training system.
- landed an 800X acceleration of algorithm research infrastructure that unblocked a 200-person R&D organization from shipping.
- created an AI system for automated codebase verification that accelerated the compliance process of a 1000-person organization from 3-6 months to <1 week.
- created the software engineering, design, and testing standards used by multiple 100-person engineering organizations at Meta which included individually mentoring dozens of senior engineers.

Engineer, AI Perception and Mixed Reality (2017 - 2019)
San Francisco Bay Area, CA
Developed scientific research into features for HoloLens 2. Contributed production code in modern C++, CUDA, and Python. Contributed machine learning and classical computer vision algorithm development and optimization for GPUs.
Designed and implemented a machine learning system for high-precision human segmentation based on research in statistical learning and deep learning. Advanced the group’s state-of-the-art in the problem domain and published a granted patent, US10902608B2 Segmentation for Holographic Images.

Engineer, Computer Vision (2016 - 2017)
San Francisco Bay Area, CA
Founded the company’s computer vision group as the 14th employee.
Created and shipped the company’s core computer vision technology to >3000 customers which led to securing Series C venture capital funding.

Research Intern, Autonomy Incubator (2015 - 2016)
Hampton, VA & Remote
Contributed computer vision research and software to an early prototype of NASA’s Ingenuity Mars helicopter.

Graduate Research Assistant (2014 - 2016)
Atlanta, GA
Carried out academic research in computer vision and contributed to GTSAM, a popular open source C++ library that implements sensor fusion for robotics and computer vision applications.

M.Sc. in Computer Science

GPA: 3.8
Full Scholarship
Dean’s List
Studied Computer Vision, Machine Learning, Computational Photography, Advanced Algorithm Design & Analysis, and Robotics.

B.Sc. in Engineering

GPA: 3.9
Full Scholarship
Dean’s List
Faculty Honors
Vice President of Tau Beta Pi
Studied Linear Algebra, Calculus, Statistics, Numerical Methods, Data Structures, Algorithm Design & Analysis, and Robotics.