Technical leadership
West Orange, New Jersey
40.80° N · 74.24° W
Building software, data systems, and teams for high-stakes, high-growth environments.
I have 15 years of software and data experience across startups, healthtech, AI, and the public sector, as well as a PhD in economics. I’m passionate about building software and organizations that tackle complex problems.
A study in distributed intelligence
Explore · connect · adapt
01 Depth, then range
Complex problems need more than one lens.
Economics taught me to make assumptions explicit and separate signal from noise. Engineering taught me that a correct model only matters if it can survive contact with a real product, organization, and user.
The work I enjoy most sits at those boundaries: technically difficult, operationally important, and too ambiguous for any one discipline to solve alone.
02 The path so far
Physical intuition, then economic reasoning, then data engineering, software, and the work of leading teams—each stage reframed the one before it.
2009–2013
Current 01
Studied physics and economics at Rensselaer Polytechnic Institute, learning to move between mathematical models, empirical evidence, and real-world systems.
2013–2014
Current 02
Focused on economic theory and quantitative methods at University College London, building a deeper foundation for applied research.
2014–2016
Current 03
Joined the Fed’s most technical team—a self-taught group responsible for ingesting the financial data used across the institution—and learned on the fly alongside exceptionally smart, dedicated colleagues. It showed me the leverage a small team like that can create.
2016–2021
Current 04
Worked on macro-finance topics while going deep on Bayesian methods, causal inference, and economic modeling—and learning how to frame ambiguous questions precisely.
2021
Current 05
Joined my first startup as one of its first 10 employees and went deep on building dynamic data pipelines for machine-learning models.
2021–2024
Current 06
At a lean Series A company, learned how to run a business from an exceptional non-technical leadership team—and grew from an individual contributor into a leader across technical teams.
2024–2026
Current 07
Served enterprise clients, solving larger-scale versions of Perry’s technical challenges while helping the organization reimagine itself as a collection of owners. The new challenge was not just scaling systems, but remaking how the business operated.
2026–Now
Current 08
Founded a 501(c)(3) civic software foundation to house Town Crier, an AI-assisted platform that enables agents to answer questions about local government.
03 Working thesis
01
Teams and individuals that identify problems and own the work to solve them.
02
I want to work with people who are trying to improve the world.
03
I value colleagues I can learn from—people who challenge one another, share what they know, and push each other to do better work.
04
I have built AI tools inside production applications, including triage assistants. I’m interested in what should be automated, what should stay human, and how teams adapt around both.
04 Continue outward