Heikki Arponen is a machine learning engineer and math PhD with 12 years of experience focused on deep learning research and production at startups and scale companies. He specializes in RNNs, CNNs, NLP and computer vision, with extensive hands-on work in distributed training and MLOps on GPU/TPU clusters using PyTorch and TensorFlow. His projects range from large-scale image-retrieval and synthetic medical imaging to Transformer-based semantic search and automated document entry, with three peer-reviewed DL publications and open-source code on GitHub. Comfortable switching between research and engineering, he has fixed cluster performance issues on DGX A100 setups and delivered production-ready NLP classifiers that achieved over 80% accuracy in real deployments. Based in Espoo, Finland, Heikki combines theoretical rigor from a PhD in mathematical physics with pragmatic systems-level experience as a freelancer and as an engineer at companies like hCaptcha, MVision AI, Tribe AI and Supercell.
12 years of coding experience
20 years of employment as a software developer
PhD Mathematics (mathematical physics), PhD Mathematics (mathematical physics) at University of Helsinki
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Heikki Arponen - Machine Learning Mercenary at Freelance