Summary
Phileas H is a Machine Learning Engineer with a decade of experience building large-scale search, recommender, and NLP systems across startups and enterprise environments. He led ML and search at VerticalScope, designing a Vespa-based search and encoder pipeline serving 110+ million monthly users and pioneering relevance work with heterogeneous GNNs, metric learning, and transformer encoders. His background spans end-to-end ML delivery—from architecture and model research to deployment, A/B/n experimentation, and monitoring—using tools like Kubeflow, Kubernetes, TensorFlow/PyTorch, and GCP. Prior roles at ROSS Intelligence and as founder of Clusterise demonstrate both applied research chops and product-oriented engineering. Now at Point72, he continues to apply production-ready ML to high-stakes problems, pairing academic rigor from an MSc at University of Toronto with practical, cross-stack implementation experience. Fluent in multilingual toolchains and system design, he often bridges research ideas into reliable, high-throughput production services.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Université Laval
MSc Applied Computing, MSc Applied Computing at University of Toronto
BSc Computer Science, BSc Computer Science at King's College London
French, English