Technical Knowledge

Programming Languages: Python, Java, Matlab, TypeScript, JavaScript, Groovy, C++, Perl, PHP, C#
Web Frameworks: HTML 5 / CSS 3, Ionic, Electron, jQuery, Firebase, Angular 2+ and 1.x, React
Microservices & Agents: MCP, LlamaIndex, CrewAI, Agentops, Autogen, LangChain
Data Tools: dbt, Fivetran, Snowflake, Databricks, Spark, Tecton, Beam, Airflow, MLFlow
Cloud Platforms: AWS, Google Cloud Platform, Digital Ocean, Firebase, Heroku.
Database Systems: Firebase, Supabase, Snowflake, MySQL, PostgreSQL, SQLite, Druid, BigQuery, Hive.
Mobile and Desktop: Android, Ionic, Electron, Linux (Gentoo, Arch, Ubuntu), Arduino, Raspberry Pi.
Biotechnology: Alignment (BLAST and FASTA), phylogenetics, synthetic biology, genetic engineering, electrophoresis, PCR, neuroradiology, musculoskeletal radiology.

Employment and Entrepreneurship

• Sold C-suite on a “chat with your contracts” agent strategy using RAG, Temporal, LlamaIndex, and pgvector.
• Directly closed deals: Consilio (multi-7 figure ARR), IBM, two Mag 7s, and a top legal data provider.
• Built an entire NYC engineering team in a month while operating a large team of London-based engineers.
• Changes resulted in record high engineering velocity: a 141% increase in average story points per week.
• Ahead of schedule deliveries on a complete v2 of the Robin AI platform, in-platform reports, unlimited context windows, and support for multi-LLM agent routing.
• Authored Cash App’s ML platform strategy, creating and staffing a 50+ person ML Infrastructure organization to drive this forward. Launched model inference, feature storage, vector embedding, tooling, explainability, and data engineering systems powering all ML at Cash in under a year.
• Built an outstanding reputation for Cash MLE, turning it into an internal and external talent magnet.

Professional Experience

April 2020 – May 2021: Engineering Manager (Newsfeed), Meta

• Managed 15 engineers
• Led recommendation infrastructure for Facebook’s newsfeed; collaborated with every team that uses the feed.
• Drove integration of Facebook and Instagram’s backend feed recommendation stacks and inclusion of Instagram Reels in the Facebook Newsfeed.
• Created frameworks for use case prioritization, including white glove and self-service tiered support.
• Worked with senior engineers to design a low latency lambda architecture for ingesting features in both online and offline recommendation flows.

Dec. 2018 – April 2020: TLM: ML Sci, ML Eng, Anticheat - Niantic

• Created and led Niantic's Machine Learning organization.
• Launched our first complete ML pipeline in two quarters, then given leadership of Anticheat.
• Platformized cheat detection within Pokemon GO to drive significant latency and accuracy improvements resulting in a 35% increase in raid pass revenue and an 8 figure ARR lift.

Dec. 2016 – Oct. 2018: CTO, ViewX

• Co-founded and built a text-to-video recommendation engine for news organizations.
• Achieved lift of up to 80% in feed recommendation tasks.
• Recruited and closed partnerships with BuzzFeed, Vice.com, Time Meredith, and Vocativ.

CEO, The Mountaintop Program

• Mentored K-12 students towards their callings, coordinating 75 mentors and helping about 300 students.

Education

• Published expert in neuroradiology (can read MRIs). Fluent English, conversational Spanish, basic Mandarin.
• Proficient as a pianist, composer, and photographer.
• Electronics inventor and “maker”: created several innovative projects, including a solar GPS and EEG brain-computer interface.