Summary
Chas Huggins is a founding technologist and quantitative developer with seven years of hands-on experience building low-latency trading systems, full-stack applications, and data pipelines. He leverages a rare blend of finance and software expertise—having started with VBA-driven financial models and now designing Python-based ML signals, Redis caching, and AWS-distributed ingestion for derivatives pricing. As a former Tech Lead and ScrumMaster, he has architected applications from the ground up, hired and mentored over a dozen engineers, and led migrations and CI/CD efforts that measurably improved performance and delivery. His stack spans MERN and Rails backends, GraphQL/Postgres, Docker, and ML tooling like PyTorch and TensorFlow, and he’s applied that tooling to products from a RobinHood clone to an animal-shelter adoption platform. Based in Miami, he runs his investment firm where proprietary code meets live trading—a practical example of shipping production software that directly drives capital decisions.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science Accounting, Bachelor of Science Accounting at The Citadel