Jul 2024 – Present · 1 yr 9 mos · New York, New York, United States

• Promptfoo discovers and eliminates major LLM risks before they reach production. We build automated red-teaming and vulnerability analysis to address security, legal, and compliance issues. Our open-source, developer-first approach has made Promptfoo the most widely adopted tool in the LLM eval space, with over 125,000 users at companies like Anthropic, Amazon, and Shopify.

Nov 2022 – Jul 2024 · 1 yr 8 mos · New York, United States

• Smile has helped over 160M people gain access to financial services. We build machine learning APIs to compare user-submitted photos from SDKs to photos from ID authorities and documents. As VP of Engineering, I provide technical leadership on high-impact projects, influence and coach a distributed team of engineers, and facilitate alignment and clarity across teams on goals, outcomes, and timelines. I spend >50% of my time writing code.

Apr 2022 – Nov 2022 · 7 mos · New York, United States

Jan 2022 – Apr 2022 · 3 mos · New York, United States

Jan 2015 – Jan 2016 · 1 yr · Palo Alto, California, United States

• Matroid is a computer vision platform for creating and deploying detectors. Detectors help customers identify objects, events, or patterns in images and videos without requiring machine learning or coding expertise. I played a crucial role in defining the company's vision. I was responsible for architecting and building the initial product. I left shortly after the Series A to focus on Arthena.

Jun 2014 – Jan 2015 · 7 mos · San Francisco, CA

• Built models incorporating sensor physics, astronomy, and optics to improve image signal-to-noise ratios and dynamic range in Python (cv2, NumPy, SciPy). Developed satellite software in C++.

Jan 2014 – Jan 2022 · 8 yrs · New York, NY

• Arthena is a Series A Company funded by Anthemis, Foundation Capital, and YC. We develop quantitative strategies to predict the value of fine art and build investment products. I ran the product and engineering org for eight years. We were acquired by Masterworks in 2023.
• Some highlights include:
• Developed the long-term technical vision and roadmap within, and often beyond, the scope of my teams. Evolved the roadmap to meet anticipated future requirements and infrastructure needs.
• Built production, online, end-to-end optimized machine learning pipelines for time-series prediction.
• Designed micro-service architecture around data collection, data integrity, feature engineering, research, strategy, backtesting, deployment, and reporting.
• Set and communicated team priorities that supported the broader organization's goals. Aligned strategy, processes, and decision-making across teams.
• Set clear expectations with individuals based on their level and role and aligned them to the broader organization's goals. Met regularly with individuals to discuss performance and development and provided feedback and coaching.

Jan 2014 – May 2014 · 4 mos · Bellevue, WA

• Wrote optical calibration software in Python. Developed simulations in Matlab for Attitude Determination and Control Subsystem. Built flight hardware for Electrical Power Subsystem. Developed test processes for electromechanical subsystems.

Jun 2013 – Sep 2013 · 3 mos · Menlo Park, CA

• Extended log collection software in Python. Performed statistical analysis with R, HQL to identify causal links for triage of malfunctioning servers. Worked with vendors and ODM’s during triage.

Jun 2011 – May 2012 · 11 mos · Buffalo, NY

• Co-authored a grant to design and build a space telescope. Established a budget and schedule from initial concept to launch. Led 60+ students through the system development life cycle: requirement analysis, design, development and testing, and implementation. Served as a technical expert, acquired intimate working knowledge of satellite subsystems. Maintained excellent scores in external design reviews.