Currently, I work at Spotlight Power as a real-time trader. I spend most of my time thinking about power markets and artificial intelligence. I am most interested in conducting market analysis, building fundamental and machine learning models, and developing tools and automations to support that work. As it relates to AI, I am particularly interested in developing reliable agentic systems that can reason over large, complex datasets, support hypothesis generation and backtesting, and maintain verifiability and interpretability.
I hold an M.S. in Computer Science from the Georgia Institute of Technology and a B.A. in Philosophy from the University of California, Santa Barbara. Before joining Spotlight, I interned at Cresta Fund Management, an energy infrastructure private equity fund.
Outside of work, I enjoy reading philosophy and training Brazilian jiu-jitsu.
Agentic Ops Platform
live platformApproval-routed execution for energy operations, from Teams intake through Cloud Run orchestration to a Windows workcell.
Trading Research
active researchEvidence-first PJM DART research with canonical pulls, walk-forward baselines, explicit gates, and artifact-backed review.
Evidence-First Agentic Workflows
systems essayA long-form page on plan-first execution, blocking gates, durable state, and why agent workflows need proof instead of polished output.
False Edge in Prediction Markets
research noteA long-form case study on leakage review, venue portability, and the market lessons that survived after the original edge claim failed.