About

I develop 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 the Microsoft HoloLens and the NASA Mars Helicopter. I like working at the intersection of math, code, and leadership.

Expertise:

• Technical Leadership (listening and influencing, organizational roadmap development and execution, talent development).
• Research and Development (scientific literature review, algorithm development, algorithm implementation, algorithm evaluation, technical communication).
• Engineering (systems design, implementation, optimization, code review, refactoring, unit testing, large codebase maintenance, version control).

Experience:

Meta

• Technical Lead, Reality Labs (2020 - Present)
• San Francisco Bay Area, CA & New York, NY
• Led across multiple teams implementing (a) production systems for training machine learning models underpinning Codec Avatars, and (b) on-device computer vision algorithms underpinning Orion Augmented Reality Glasses. Contributed production code and technical direction in areas such as machine learning systems, algorithm optimization for CPUs and GPUs, and general software engineering.
• Regularly delivered organization-level impact: (a) led performance optimization of a machine learning training system by >80% which led to a >$10B reduction in projected operating cost, (b) landed an 800X algorithm performance improvement in a product-critical system which unblocked R&D across an organization of 100s of people, (c) created the software engineering, documentation, and testing standards used by multiple 100+ people engineering organizations at Meta which included individually mentoring dozens of senior engineers.

Microsoft

• Engineer, AI Perception and Mixed Reality Group (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.

DroneDeploy

• Engineer, Computer Vision Group (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.

NASA

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

College of Computing @ Georgia Institute of Technology

• 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.

Education

Georgia Institute of Technology

• Atlanta, GA

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.