Summary
Loi Tran is a Solutions Architect with a decade of experience designing and implementing software and ML systems across startups and product teams in the San Francisco Bay Area. He blends hands-on engineering and quantitative trading experience—currently splitting time between a stealth trading startup and a Solutions Architect role at Health Compiler—bringing practical ML deployment, data engineering, and systems design skills. His background spans roles from instructor to software engineer at companies like Canva and ScanLabMR™, reflecting a strong foundation in teaching, product-facing engineering, and research-oriented implementation. Loi’s work often bridges model development and production delivery, and he’s comfortable translating complex algorithmic ideas into reliable, scalable services. An early-career educator and former ML engineer, he uniquely pairs technical mentorship with deep problem-solving across the full stack.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Florida State University
Associate of Arts (A.A.) Information Technology, Associate of Arts (A.A.) Information Technology at Tallahassee State College
English, Vietnamese, Spanish