Zachary joined SignalFire in 2024 as a Machine Learning Engineer. Prior to joining SignalFire, Zachary was at the startup MoveWorks, where he worked on a generative chatbot framework and search engine models for question answering. He developed document ranking models, created an API ranking service, and was the lead engineer for an enterprise search product.
Zachary graduated from Brown University with both a Bachelor of Science and a master's degree in Computer Science, with a focus on machine learning. He enjoys learning about a variety of topics,including physics, philosophy, and poetry.
In his free time, Zachary likes traveling, hiking, skiing, running, and gaming (both tabletop and digital).
June 29, 2026
Modern AI operates on a paradox: we understand the mathematical building blocks of neural networks, but the complex functions they learn remain an opaque black box. As models scale, they trigger unpredictable emergent properties. While empirical data proves that scaling reliably improves performance, the industry remains deeply divided on whether continuing this path will result in a hard plateau or entirely new capabilities.
January 22, 2026
Why robots still struggle in the real world, and how World Models, JEPA, and LeJEPA point to a new path for learning, prediction, and physical intelligence.
October 15, 2025
Discover why AI hallucinations aren’t just bugs but signals of deeper issues in confidence and context. See why OpenAI and Anthropic's research reveals that the future of large language models lies in calibrating confidence but tuning imagination, accuracy, and empathy to fit the task.
August 18, 2025
An inside look at how LLMs earned gold at the International Math Olympiad and what it reveals about reinforcement learning, inference-time compute, and AGI’s limits.
May 30, 2025
Discover why SignalFire has an engineering team—and how it’s redefining venture capital. Learn how our AI-powered tools like Beacon AI help investors source deals, support founders, and turn billions of data points into strategic decisions.