Summary
Antwan Hommy is a Data Scientist and ML Engineer with eight years of hands-on experience building production-ready ML frameworks and MLOps tooling, currently developing PyTorch-based systems at Nokia in Turku. He combines a strong software engineering background—Java, Docker, Jenkins, and CI/CD—with advanced data science training (MPhil in Data Science) to deliver robust hyperparameter tuning, orchestration, and testing solutions. His work spans the full lifecycle from automated test systems and containerization to designing hyperparameter optimization orchestrators and unit-tested ML pipelines. Comfortable bridging research and production, he’s shipped tooling used across teams and has a knack for automating migration and data-wrangling tasks in regulated environments. Notably, he turned his master’s thesis on hyperparameter optimization into an implemented orchestrator and framework components now used in Nokia’s ML stack.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Communications Engineering, Master of Science - MS, Communications Engineering at Aalto University
Master of Philosophy - MPhil, Data Science, Master of Philosophy - MPhil, Data Science at University of Helsinki
The University of Melbourne
English, Finnish, aramaic, Spanish, Swedish