Summary
Mostafa Saeidi is a Senior Data Scientist with six years of experience designing and delivering production-grade AI systems, specializing in LLMs, agentic workflows, RAG, time-series forecasting, and digital twins. At Altair (now part of Siemens) he has led end-to-end projects that turned ambiguous industrial problems into reliable, operational ML products—deploying models, orchestration, and MLOps pipelines used by sales and engineering teams. His strengths lie at the intersection of system design and applied research: building multi-agent architectures and knowledge systems that bridge technical documentation and KPIs, while also delivering forecasting and digital twin models that outperformed legacy simulators. He combines deep domain knowledge from energy and condition-monitoring research with pragmatic product delivery, often acting as technical lead to translate fuzzy requirements into concrete architectures and milestones. Based in Toronto, he brings a rare blend of academic grounding in electrical engineering and hands-on production experience across industrial clients.
5 years of coding experience
6 years of employment as a software developer
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at École de technologie supérieure
Amirkabir University of Technology
Master of Science - MS Planning and Management of Electrical Energy Systems, Master of Science - MS Planning and Management of Electrical Energy Systems at Shahid Beheshti University
Kurdish, Persian, English