I'm currently a Senior AI Product Manager at Arize AI, where I work on the self improvement loop for agents: observability, evaluation, and experimentation.
My background spans some of the most innovative companies in tech: SpaceX (Mars program & Dragon rockets), Tesla (Mobile App & Virtual Power Plant), and Twitter (Content Moderation at global scale).
At Federato, I grew from Engineer to PM, achieving a 1048% DAU increase and driving $150K upsells. I bring technical depth with product intuition.
I co-host "The Next Iteration" podcast (top 5% globally), where I interview industry leaders about building better versions of themselves and their work.
Building the Self Improvement Loop for Agents; observability, evaluation, and experimentation. Leading product strategy, spearheading our PLG motion, driving key partnerships, and still shipping PRs along the way. Acquired by Dynatrace for $1.15 billion in August 2026.
Promoted from Senior Engineer to co-lead the Product Organization. Led an initiative that achieved a 1048% increase in DAU. Spearheaded pricing strategy and packaging, enabling a 67% ACV increase. As an engineer, launched a production instance for a large climate insurance client (100+ users) in 8 weeks, leading a team of 7 engineers (Kafka, Grafana, Python, React).
Built large-scale distributed systems in Scala to batch review reported media files (100TB+ data flow). Engineered content moderation systems for platform safety at global scale.
Sourced and evaluated early-stage startups as part of the Susa team (investors in Robinhood, Flexport). Invested in DeepTech startups as an angel investor affiliated with the Susa Fellows Fund.
Worked on classified, mission critical systems for the Mars Program and Dragon rocket-ships. Built autonomous systems using path planning algorithms for robotics integration.
Shortened load times by 20% for the Tesla Mobile App by building clustered micro-services. Improved the reliability of Tesla's Virtual Power Plant and Autobidder systems.
Agent-based models of political institutions — how the formal rules of a legislature decide what it can actually pass, and whose preferences survive the trip from ballot to law.
Fragmented parliaments don't collapse because coalitions fail to form. With MPs voting personally, passage (46.4%) matches the presidential benchmark (44.8%); collapse to 0.05% requires a cohesive opposition.
Everything I've posted, newest first, on my arXiv author page.
All publications on arXivThe Next Iteration
"Enabling you to build the best iteration of yourself"
Join me and co-host Damien Joseph as we interview industry leaders, founders, and innovators about their journeys building products, companies, and careers.
Three surprises from 3,200 simulated legislative sessions across four democratic institutions.
On maps, borders, and why I turned my portfolio into terrain you can explore.
I'm always interested in hearing about AI/ML product challenges, potential podcast guests, or just connecting with interesting people building the future.
Based in Brooklyn, NY — always online.