to PresentDuration: 7 months or more
Resume
JSONEngineering leader with a career spanning 15+ years across AI, security, and infrastructure. I'm currently a Member of the Technical Staff at OpenAI, working on Promptfoo and other cyber products. I help secure AI systems and use AI to find software vulnerabilities. I co-founded Promptfoo before it joined OpenAI in 2026. Stanford MS, YC alum, previously VP Engineering.
San Franciscomldangelo.comhi@mldangelo.comgithub.com/mldangelolinkedin.com/in/michaelldangeloExperience
to Duration: 1 year 8 months
PromptfooCo-founder & CTO
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.
- 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.
to Duration: 2 years 6 months
Smile IDVP Engineering & Head of AI
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.
- 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.
to Duration: 8 years
ArthenaCo-founder & CTO
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.
- 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.
to PresentDuration: 9 years 6 months or more
Skeptical InvestmentsCo-founder
Skeptical Investments is a micro-VC fund focused on early-stage technical founders, with investments in ML, infrastructure, and space startups.
- Created InstaSafe, a tool that automates YC-standard investment documents.
- Advise portfolio founders on ML, infrastructure, hiring, and fundraising strategy.
to Duration: 9 months
MatroidCo-founder
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.
- 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.
to Duration: 7 months
PlanetAvionics Intern
- 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).
to Duration: 4 months
Planetary ResourcesAvionics Intern
- Developed simulations for Attitude Determination and Control Subsystem.
- Built flight hardware for Electrical Power Subsystem in clean room; performed thermal vacuum chamber testing.
to Duration: 3 months
FacebookSoftware Engineering Intern
- 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.
to Duration: 11 months
UB Nanosatellite ProgramProgram Manager
- 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
M.S. Computational and Mathematical Engineering (ICME)
B.S. Electrical Engineering, Computer Engineering
Skills
Showing all 21 skills.
KnowledgeDeepWorkingFamiliar
Data Engineering
Databases
Infrastructure
Languages
ML Engineering
Web Development
Selected Courses
- 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 131:Computer Vision: Foundations and Applications
- CS 224d:Deep Learning for Natural Language Processing
- CS 229:Machine Learning
- CS 231n:Convolutional Neural Networks for Visual Recognition
- CS 246:Mining Massive Data Sets
- CS 265:Randomized Algorithms and Probabilistic Analysis
- EE 364a:Convex Optimization
References
References available upon request. Get in touch →