Summary
Phillip Williams is a Machine Learning Manager based in Ottawa with 11 years of experience building production ML systems for supply chain and forecasting. He combines dual undergraduate degrees in Chemical Engineering and Computer Science with an MSc in Machine Learning from UCL (Distinction), bringing both domain breadth and rigorous academic training to applied problems. At Kinaxis he progressed from co-op prototyping lead-time forecasting—work that spawned a patent application—to leading and now managing teams that deliver scalable time-series forecasting services on cloud and big-data platforms. He has hands-on experience across the ML lifecycle, including AutoML, distributed computing, and NLP pipelines from internships at Shopify and IBM. Known for translating long historical enterprise datasets into actionable models, he also has early-stage founder and lab research experience that reflects a comfort with hardware, wet-lab methods, and productizing prototypes. Phillip blends technical leadership with practitioner-level coding and mentoring, steadily moving models from research into mission-critical production.
11 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, B.A.Sc of Chemical Engineering and B.Sc in computing technology, 8.9/10.0, Bachelor's Degree, B.A.Sc of Chemical Engineering and B.Sc in computing technology, 8.9/10.0 at University of Ottawa
International Baccalaureate, International Baccalaureate at College Catholique Franco-ouest
University College London
English, French