I am the person behind Miami Beach Labs, an independent lab where I turn ideas into software, models, assessments, and experiments. I am a Caltech graduate based in Miami Beach, and my work sits at the intersection of software architecture, artificial intelligence, and mathematical modeling.
My current focus is AI Fitness: a behavioral framework, assessment, and personal training practice for helping people become more capable at working with AI. Alongside it, I build small applications and reasoning tools when software is the clearest way to investigate an idea.
Before starting Miami Beach Labs, I spent 15+ years building software across startups and larger tech organizations, with a focus on simulation systems, machine learning infrastructure, data pipelines, and financial modeling.
At Capital One (Master Software Engineer) I helped design and build a simulation platform for synthetic financial data used in modeling and experimentation. The system evolved from early Python prototypes into a Haskell-based architecture built for reliability, composability, and large-scale simulation workflows. That work contributed to five patents related to agent-based modeling and synthetic data.
Earlier in my career I worked on machine learning systems, data science platforms, and large-scale backend services, including fraud detection, recommendation systems, NLP tools, and analytics infrastructure, with roles such as Machine Learning Engineer at Gumroad and Software Architect at CollabRx. I also worked as a Haskell quantitative engineer at Tontine Trust building simulation and forecasting systems.
Background and capabilities
- Backend architecture and system design
- LLM integration into existing production workflows
- Rapid prototyping that evolves into production systems
- Quantitative modeling and simulation for decision making
My technical interests include functional programming, machine learning systems, simulation, quantitative finance, and stochastic models of complex systems. I also explore formal reasoning about software and build small experiments that clarify ideas. Beyond Caltech, my graduate studies in intelligent systems and applied mathematics deepened my background in probabilistic modeling and AI. Miami Beach Labs remains open to selective engineering work, research collaboration, and grant-funded projects where that background is useful.