Mikhail Gaerlan
Machine Learning Engineer at Praxis Solutions, Inc
Rosemead, California, United States
Summary
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Senior🎓
Top SchoolMikhail Gaerlan is a Machine Learning Engineer with eight years of experience building production AI systems for finance, currently developing and deploying the Kapital Artificial Intelligence Analyst (KAIA) at Praxis Solutions. He bridges research and engineering—applying graduate training in applied mathematics, numerical optimization, and computational statistics to design TensorFlow-based deep nets that power a market-neutral fund and automated trading pipelines. His day-to-day work spans LLM prompt engineering and LLMOps, FastAPI service deployment on AWS, and CI/CD automation with GitHub Actions and mlflow, ensuring models move reliably from experiment to production. Prior roles in academia and research exposed him to network science, agent-based modeling, and experimental physics, which inform his data-driven approach to complex systems. He combines hands-on coding (see github.com/mikhailgaerlan) with operational responsibility for live trading and client-tailored AI deployments. Notably, he pairs quantitative rigor with practical MLOps discipline—supervising daily trading execution while iterating on model performance.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at University of California, DavisHigh School, 4.00, High School, 4.00 at Mississippi School for Mathematics and ScienceUniversity of the Philippines DilimanBachelor of Science (B.S.), Physics, Mathematics, 3.97, Bachelor of Science (B.S.), Physics, Mathematics, 3.97 at Mississippi State University
Filipino, English, FrenchGithub contributions (5)
mikhailgaerlan/TV-Show-Script-Writer
Nov 2020 - Nov 2020
Contributions:21 commits, 15 pushes, 1 branch in 1 day
mikhailgaerlan/Econophysics-Projects
Mar 2019 - Oct 2020
Contributions:1 push, 1 branch in 1 year 7 months
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