Bogdan Ivanyuk-skulskiy is a Senior Machine Learning Engineer with eight years of experience building production-grade ML systems that span lightweight computer vision for real-time inference to agentic LLM platforms serving tens of thousands of users. He currently architects Navigator at PitchBook, designing stateful multi-agent workflows, deterministic tool orchestration, and parallel evaluation pipelines to close the reliability gap in conversational search. His background blends academic research (CIFRE PhD work on lightweight transformers for video anomaly detection) with hands-on system engineering—optimizing models for edge constraints, scaling inference to hundreds of concurrent agent loops, and deploying high-throughput services handling hundreds of millions of requests. Comfortable across the stack (C++, Python, Docker/Kubernetes, ONNX/TensorRT, AWS/GCP), he favors practical, observable designs that make SOTA models reliable in production. Off-hours he builds miniature models and flies FPV drones—an indicator of his preference for precision engineering and rapid iteration.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Lille 1 Sciences and Technology
Master's degree Applied Mathematics, Master's degree Applied Mathematics at National University of Kyiv-Mohyla Academy
Contributions:12 commits, 5 pushes in 1 year 6 months
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Bogdan Ivanyuk-skulskiy - Senior Machine Learning Engineer at PitchBook