Education
M.S. Computational and Mathematical Engineering (ICME)
Stanford University, 2016
B.S. Electrical Engineering, Computer Engineering
University at Buffalo, 2012
Experience
Promptfoo - Co-founder & CTO
July 2024 - PRESENT
Promptfoo discovers and eliminates LLM risks before they reach production through automated red-teaming and vulnerability analysis. Our open-source, developer-first approach has made Promptfoo the most widely adopted LLM security tool, with over 200,000 users at companies like Anthropic, Amazon, and Shopify.
- Own company-wide technical strategy and product roadmap, balancing open-source community, commercial product, and research investments.
- Led technical due diligence for $23M+ in venture financing from Insight Partners and Andreessen Horowitz.
- Built and scaled the engineering team from founding through Series A, including hiring, leveling, and performance management.
- Led development of core evaluation framework, vulnerability scanning, and automated red-teaming capabilities.
Smile ID - VP Engineering & Head of AI
January 2022 - July 2024
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.
Skeptical Investments - Co-founder
April 2017 - PRESENT
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.
Arthena - Co-founder & CTO
January 2014 - January 2022
Arthena was a quantitative art investment platform backed by Anthemis, Foundation Capital, and Y Combinator. Built Arthena from idea to acquisition by Masterworks 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 micro-service architecture for data collection, feature engineering, backtesting, and reporting.
Matroid - Co-founder
September 2015 - June 2016
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.
Planet - Avionics Intern
June 2014 - January 2015
- 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).
Planetary Resources - Avionics Intern
January 2014 - May 2014
- Developed simulations for Attitude Determination and Control Subsystem.
- Built flight hardware for Electrical Power Subsystem in clean room; performed thermal vacuum chamber testing.
Facebook - Software Engineering Intern
June 2013 - September 2013
- 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.
UB Nanosatellite Program - Program Manager
June 2011 - May 2012
- 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.
Skills
Selected Courses
CME 302:
Numerical Linear Algebra
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CME 304:
Numerical Optimization
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CME 305:
Discrete Mathematics and Algorithms
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CME 306:
Stochastic Methods in Engineering
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CME 307:
Optimization
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CME 308:
Stochastic Processes
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CS 131:
Computer Vision: Foundations and Applications
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CS 224d:
Deep Learning for Natural Language Processing
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CS 229:
Machine Learning
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CS 231n:
Convolutional Neural Networks for Visual Recognition
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CS 246:
Mining Massive Data Sets
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CS 365:
Randomized Algorithms and Probabilistic Analysis
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EE 364a:
Convex Optimization