Summary
Maxim Lakin is a Senior Machine Learning Engineer with 11 years of experience applying statistical modeling, deep learning, and reinforcement learning to real-world systems from FinTech document retrieval to oil-field control. He combines a physics research background—building LIGO simulation components and enhancing signal pipelines—with pragmatic engineering, having developed custom OCR, sensor-fusion backends, and production RL controllers that met human-level safety margins. At The Funding Floor he tackled unstructured PDF information retrieval with GNN embeddings and hierarchical segmentation, and at Meta continues to scale ML solutions. Comfortable across NLP, computer vision, time series, anomaly detection, and control systems, he bridges simulation-driven research and robust production deployments. Colleagues describe him as someone who turns complex physical and data problems into deployable systems, often adding domain-specific simulation or tooling that others overlook.
11 years of coding experience
7 years of employment as a software developer
BS Physics, BS Physics at University of Massachusetts Amherst
English