Serhii Huzyk is a software engineer with 11 years of experience building industrial and energy-focused systems, currently developing grid-aware machine learning models at Phage.Energy to make distributed assets like BESS and VPP clusters both controllable and economically efficient. He has a strong applied-mathematics foundation from Sumy State University and practical ML and algorithms training from multiple Udacity nanodegrees, which he applies to turning energy surplus into AI compute under grid constraints. Previously he engineered SCADA and HMI solutions at ELIUS-M, cultivating disciplined team data-sharing practices and automating routine workflows. Comfortable at the intersection of embedded/industrial software and ML-driven orchestration, he brings pragmatic systems thinking to real-world power-grid challenges. An interesting detail: he focuses not just on prediction but on economically actionable control—optimizing when compute should run to support grid stability while monetizing surplus energy.
11 years of coding experience
9 years of employment as a software developer
Specialist Applied Mathematics, Specialist Applied Mathematics at Sumy State University
Data Structures and Algorithms Nanodegree, Data Structures and Algorithms Nanodegree at Udacity
Turn JAR (java archive) into self-contained executable in a single command
Contributions:62 commits, 27 pushes, 2 branches in 27 days
java-jarself-containedpackagingfatjararchive
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.