Feb 2023 – Aug 2024 · 1 yr 6 mos · Austin, Texas, United States · Hybrid

• Supported the transition from Argo into Ford:
• Built out the AI Infrastructure team and codebase from scratch
• Generative models for behavior simulation
• Led Virtual Testing & Analytics
• Built Adaptive sampling & experimentation

Nov 2021 – Mar 2023 · 1 yr 4 mos · Austin, Texas Metropolitan Area

• (Acquired by Ford to form Latitude AI)
• Leading teams in AI Infrastructure
• Offline (Counterfactual) Evaluation & Offline Fleet Metrics Prediction
• ML Training Platform
• Metrics & Lineage/Artifact tracking (ML Ops)
• On-vehicle ML Inference
• Scene Embeddings, knowledge engineering, autonomous challenging scenario discovery
• Reinforcement Learning for social signals / negotiation.

Aug 2018 – Oct 2021 · 3 yrs 2 mos

• ReAgent, A scalable reinforcement learning platform: https://reagent.ai
• ReAgent is used across the company to improve products at all levels.
• Eternal Terminal: A replacement for ssh that supports roaming: https://eternalterminal.dev
• Eternal Terminal is used by hundreds of engineers at Facebook to improve productivity.

Mar 2016 – Aug 2018 · 2 yrs 5 mos

• ReAgent, A scalable reinforcement learning platform: https://reagent.ai
• ReAgent is used across the company to improve products at all levels.
• Eternal Terminal: A replacement for ssh that supports roaming: https://eternalterminal.dev
• Eternal Terminal is used by hundreds of engineers at Facebook to improve productivity.

Oct 2013 – Mar 2016 · 2 yrs 5 mos

• Lead Software Engineer, June 2014 - March 2016
• Lead special projects
• Lead Data Scientist, October 2013 - June 2014
• Led a team of data scientists to build new models and an A/B testing framework.
• Built several inference-based recommender systems on open-source technology.
• Greatly increased recommendations revenue on Apple's online stores.

May 2011 – Oct 2013 · 2 yrs 5 mos · San Francisco Bay Area

• Responsible for the Adwords Express machine learning pipeline
• Primary systems point of contact for the Sibyl Learner: A distributed machine learning system that utilizes 1.2% of the cores at Google and powers YouTube video recommendations, Adwords Express, G+ friend suggest, and GMail Ads.
• Increased throughput by 30% with algorithmic optimizations
• Gave presentations at several campus recruiting events nationwide
• Google Offers: Deal Forecasting, June 2011 - June 2012
• Created Offers Analytics Prediction Engine (APE). APE is a machine learning platform that estimates sales based on past performance.
• Prediction engine is twice as effective as the previous solution.
• Google Hangouts Transcription and Translation
• Created Hangouts Transcription, text transcription and analysis for a hangout (US Patent 8612211).
• Created Hangouts Translation, real-time speech translation and synthesis within a hangout (Patent GP-13692-00-US pending).

May 2006 – May 2011 · 5 yrs · orlando, florida area

• Applied Research:
• Created biologically-inspired vision algorithms for object detection and tracking.
• Implemented algorithms on a cluster of GPUs.
• Attended HPEC 2010 and CHREC 2010 workshops
• Architected research platform built on open source software to support future research activities
• Fixed-Wing Systems:
• Architected and programmed Image Processing software for F-16, F-18, and A-10 targeting systems.
• Performed as the targeting software Subject Matter Expert (SME) for a multi-billion dollar contract.
• Integrated targeting systems with main aircraft Operational Flight Program (OFP).
• Supported domestic and international customers with on-site software enhancements.

Jan 2000 – Jan 2005 · 5 yrs

• Wrote a scalable C# web framework and SQL backend that served courses to over 20,000 students