{ "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json", "basics": { "name": "Michael D'Angelo", "label": "Member of the Technical Staff", "image": "https://mldangelo.com/images/me.jpg", "email": "hi@mldangelo.com", "url": "https://mldangelo.com/", "summary": "Member of the Technical Staff at OpenAI, working on Promptfoo and Codex Security. Co-founded Promptfoo before it joined OpenAI in 2026.", "location": { "city": "New York", "region": "NY" }, "profiles": [ { "network": "LinkedIn", "username": "michaelldangelo", "url": "https://www.linkedin.com/in/michaelldangelo" }, { "network": "GitHub", "username": "mldangelo", "url": "https://github.com/mldangelo" }, { "network": "X", "username": "dangelosaurus", "url": "https://x.com/dangelosaurus" }, { "network": "Angel List", "username": "michael-d-angelo", "url": "https://angel.co/michael-d-angelo" }, { "network": "Instagram", "username": "dangelosaurus", "url": "https://www.instagram.com/dangelosaurus/" }, { "network": "Facebook", "username": "d", "url": "https://facebook.com/d" } ] }, "work": [ { "name": "OpenAI", "position": "Member of the Technical Staff", "url": "https://openai.com", "startDate": "2026-03-09", "summary": "Building Promptfoo and Codex Security at OpenAI, with a focus on securing AI systems and applying AI to software security." }, { "name": "Promptfoo", "position": "Co-founder & CTO", "url": "https://promptfoo.dev", "startDate": "2024-07-01", "endDate": "2026-03-09", "summary": "Promptfoo started as a developer-first eval tool and grew into a platform for AI security, red-teaming, and compliance. It reached more than 350,000 developers, 130,000 monthly active users, and teams at more than 25% of the Fortune 500 before joining OpenAI in 2026.", "highlights": [ "Owned company-wide technical strategy and product roadmap across open-source adoption, commercial product, and research investments.", "Co-led Promptfoo through its acquisition by OpenAI in March 2026.", "Helped turn Promptfoo from an open-source eval tool into an enterprise AI security product used by large companies and frontier labs.", "Built and scaled the company from founding to 23 people across engineering, GTM, and operations.", "Led technical due diligence and fundraising through $23.4M in venture financing from Insight Partners and Andreessen Horowitz.", "Led development of core evaluation framework, vulnerability scanning, static analysis, and automated red-teaming capabilities." ] }, { "name": "Smile ID", "position": "VP Engineering & Head of AI", "url": "https://smile.id", "startDate": "2022-01-01", "endDate": "2024-07-01", "summary": "Smile Identity provides ML-powered identity verification APIs used by banks, fintechs, and telcos across Africa. Promoted from Director to VP Engineering to VP Engineering & Head of AI within one year, leading teams building APIs that now process hundreds of millions of identity checks.", "highlights": [ "Owned engineering org design, headcount planning, and hiring across backend and ML teams, growing to 20+ engineers.", "Transformed engineering velocity from weekly releases to continuous deployment, migrating to TypeScript, adding tests in CI, and leading ceremonies.", "Re-architected inference APIs on AWS Lambda, scaling from 1,000 to 1M+ users per day and cutting job time from 30+ seconds to 7 seconds.", "Built computer vision pipelines for liveness detection certification.", "Pitched, designed, and shipped a fraud detection product using 1-N facial recognition with embeddings and vector search." ] }, { "name": "Arthena", "position": "Co-founder & CTO", "url": "https://www.ycombinator.com/companies/arthena", "startDate": "2014-01-01", "endDate": "2022-01-01", "summary": "Arthena was a quantitative art investment platform backed by Anthemis, Foundation Capital, and Y Combinator. Built Arthena from idea into a quantitative art-investment platform; Masterworks later acquired the company in 2023.", "highlights": [ "Co-founded Arthena and led technical strategy; sat on board and led fundraising, including debt financing for a 9-figure investment vehicle in the auction guarantee market.", "Built and managed a cross-functional team of 20 engineers, data scientists, and analysts.", "Built data pipelines, quantitative research tools, and visualization systems to scale investment research and augment analyst decision-making.", "Developed valuation models on irregularly-sampled time series using graph embeddings, probabilistic forecasting with calibrated prediction intervals, and online learning with walk-forward validation.", "Designed a microservices architecture for data collection, feature engineering, backtesting, and reporting." ] }, { "name": "Skeptical Investments", "position": "Co-founder", "url": "https://skepticalinvestments.biz", "startDate": "2017-04-01", "summary": "Skeptical Investments is a micro-VC fund focused on early-stage technical founders, with investments in ML, infrastructure, and space startups.", "highlights": [ "Created InstaSafe, a tool that automates YC-standard investment documents.", "Advise portfolio founders on ML, infrastructure, hiring, and fundraising strategy." ] }, { "name": "Matroid", "position": "Co-founder", "url": "https://matroid.com", "startDate": "2015-09-01", "endDate": "2016-06-01", "summary": "Matroid is a computer vision platform for creating and deploying detectors, now funded by NEA and Accel. I co-founded the company and built the initial product through our first fundraise.", "highlights": [ "Defined company vision and product strategy.", "Architected and built the initial detector platform for identifying objects, events, and patterns in video.", "Led technical fundraising efforts for seed round." ] }, { "name": "Planet", "position": "Avionics Intern", "url": "https://planet.com", "startDate": "2014-06-01", "endDate": "2015-01-01", "highlights": [ "Built models for cloud detection and optimal exposure using Earth albedo, incorporating sensor physics, astronomy, and optics.", "Worked with optics and camera hardware; developed satellite software in C++ and Python (OpenCV, NumPy, SciPy)." ] }, { "name": "Planetary Resources", "position": "Avionics Intern", "url": "https://en.wikipedia.org/wiki/Planetary_Resources", "startDate": "2014-01-01", "endDate": "2014-05-01", "highlights": [ "Developed simulations for Attitude Determination and Control Subsystem.", "Built flight hardware for Electrical Power Subsystem in clean room; performed thermal vacuum chamber testing." ] }, { "name": "Facebook", "position": "Software Engineering Intern", "url": "https://facebook.com", "startDate": "2013-06-01", "endDate": "2013-09-01", "highlights": [ "Worked on Facebook's first GPU compute team, benchmarking NVIDIA GPUs for initial data center deployment.", "Built log collection software and performed statistical analysis in Python, Hack, R, and HQL." ] }, { "name": "UB Nanosatellite Program", "position": "Program Manager", "url": "https://ubnl.space/", "startDate": "2011-06-01", "endDate": "2012-05-01", "summary": "Led a 60-person student team through the satellite development lifecycle for the AFRL University Nanosatellite Program.", "highlights": [ "Co-authored grant proposal to design and build a multi-spectral imaging satellite.", "Established budget and schedule from initial concept through design reviews.", "Designed ADCS and worked on sensor integration." ] } ], "education": [ { "institution": "Stanford University", "url": "https://stanford.edu", "studyType": "M.S.", "area": "Computational and Mathematical Engineering (ICME)", "endDate": "2016", "courses": [ "EE 364a - Convex Optimization", "CS 229 - Machine Learning", "CS 231n - Convolutional Neural Networks for Visual Recognition", "CME 302 - Numerical Linear Algebra", "CME 304 - Numerical Optimization", "CME 305 - Discrete Mathematics and Algorithms", "CME 306 - Computational Methods of Applied Mathematics", "CME 307 - Optimization", "CME 308 - Stochastic Methods in Engineering", "CS 265 - Randomized Algorithms and Probabilistic Analysis", "CS 224d - Deep Learning for Natural Language Processing", "CS 246 - Mining Massive Data Sets", "CS 131 - Computer Vision: Foundations and Applications" ] }, { "institution": "University at Buffalo", "url": "https://buffalo.edu", "studyType": "B.S.", "area": "Electrical Engineering, Computer Engineering", "endDate": "2012" } ], "skills": [ { "name": "Data Engineering", "keywords": [ "Pandas" ] }, { "name": "Databases", "keywords": [ "PostgreSQL", "SQL", "Vector Databases", "Redis" ] }, { "name": "Infrastructure", "keywords": [ "AWS", "Docker", "Observability", "Kubernetes" ] }, { "name": "Languages", "keywords": [ "Python", "TypeScript", "SQL" ] }, { "name": "ML Engineering", "keywords": [ "AI Agents", "AI Red-teaming", "LLM APIs", "LLM Evaluation", "Pandas", "Python", "Observability", "Prompt Engineering", "PyTorch", "RAG", "Vector Databases" ] }, { "name": "Web Development", "keywords": [ "Node.js", "TypeScript", "FastAPI", "Next.js" ] } ], "meta": { "canonical": "https://mldangelo.com/resume.json" } }