16 years building production AI/ML systems, scaling engineering orgs from 2 to 200+, and turning zero-to-one ideas into nine-figure outcomes. Currently architecting arbitrage trading infrastructure at a $2B+ prop trading firm. Always in the code.
I didn't take the traditional path. I dropped out of high school, taught myself to code, and spent the next two decades building things that matter — from production AI/ML pipelines processing millions of daily transactions to SaaS platforms serving enterprise clients at scale.
As co-founder and CTO of Fonteva, I built the engineering org from 2 to 40+ engineers with 98% retention over 10 years, invented patented virtual container technology, grew the company to $35M ARR, and drove a $125M acquisition by Togetherwork. I also founded inTown, a civic tech company that reached $2M annual profit bootstrapped with zero outside funding.
Today I lead AI/ML engineering at a prop trading firm managing $2B+ — building the arbitrage infrastructure from scratch and taking it from zero to $1M monthly run rate in 5 months. I believe the best engineering leaders never stop shipping.
The Unnatural Group · 2024 – Present
Civic tech · $2M profit · 12 cities · 2021–2024
$35M ARR · $125M exit to Togetherwork · 2012–2021
Apple iTunes, Blackboard · 2009–2012
USPTO US20150363179A1 · Virtual Containers
LLM deployment, RAG architectures with knowledge graphs, LSTM-based pricing models, and real-time ML pipelines with sub-50ms latency for trading and ad-tech.
Streaming architectures handling 50K+ concurrent requests at 99.95% uptime. Real-time data pipelines for trading signals, ad data, and municipal services.
End-to-end application development — multitenant SaaS, payment facilitation, partner ecosystems, and developer platforms processing $500M+ in annual transactions.
Built AI/ML engineering from scratch at a $2B+ prop trading firm. Recruited a team of 6, secured $10M in investment to re-architect market data processing, and reduced inference latency from 4 seconds to sub-50ms — unlocking arbitrage strategies at scale.
Founded and bootstrapped a civic tech company to $2M annual profit with zero outside funding. Built a team of 9 engineers delivering AI-powered municipal infrastructure to 12 city governments with 92% autonomous resolution rate.
Joined a 5-person consultancy, built it into a SaaS platform with $35M ARR and 180+ employees. Invented patented virtual container tech, grew engineering from 2 to 40+ with 98% retention, and drove a $125M acquisition.
Led technical architecture for enterprise Service Cloud implementations serving Fortune 500 clients including Apple's iTunes division. Designed event-driven architectures supporting 10M+ monthly interactions.
Streaming data framework for real-time workflows with Apache Kafka, Avro serialization, Flink, and ClickHouse. Schema-driven pipelines built for ML workloads.
Python client library for the TradeSignals REST API — sync and async operations, type definitions, and FIX protocol integration for trading data.
Manage environments, variables, and secrets from multiple sources. Model-based config management for Python 3.8+.
Create AI agents from URLs or document CSV files. Rapid agent bootstrapping for knowledge-intensive applications.
Autonomous AI coding agent running natively in an E2B sandbox. Breaks tasks into parts and applies diffs for end-to-end app building.
ML language model exploration — experiments, benchmarks, and research implementations across modern architectures.
2019
8× Honoree · 2013–2021
Most Innovative Company · 2019
Global Partner Ranking · 2018–2021
Whether it's a collaboration, an opportunity, or just a conversation about AI/ML engineering and trading systems — I'm always open to connecting.