Summary
Mark Popovich is an AI Engineer with nine years of experience applying deep learning and computer vision to real-world problems, from agricultural automation to consumer-facing generative apps. He combines product-minded full-stack development—shipping a React Native/Django generative AI app on the App Store—with hands-on ML systems work such as multi-threading GPUs to cut inference latency by over 80%. His background spans data science instruction, production CV pipelines, and quantitative research into volatility-reducing strategies for financial returns. Comfortable owning projects end-to-end, he has built APIs, web UIs, and dataset tooling that turned research models into deployed services. Based in Friday Harbor, WA, he brings both academic finance training and practical ML engineering to bridge research insights and production impact. One less obvious strength: he pairs deep model work with ops-level optimizations that materially improve throughput and cost-efficiency.
10 years of coding experience
6 years of employment as a software developer
Data Science Immersive, Data Science Immersive at General Assembly
Bachelor of Science in Management, Finance, General, Bachelor of Science in Management, Finance, General at Tulane University - A.B. Freeman School of Business
UC Santa Barbara