Summary
Maziar M-shahi is a Staff Machine Learning Engineer in Montreal with 11 years of experience building scalable, production-grade software and ML systems across enterprises like ServiceNow, Manulife, Expedia and Ericsson. He combines hands-on ML research (MSc in Machine Learning, seismic segmentation work on AWS/SageMaker) with a strong backend and distributed-systems background, shipping microservices, performance optimizations and messaging-based components in production. Known for improving operational efficiency and data quality, he has driven initiatives from API and UI tooling to A/B experiments and significant data-compression gains. A collaborative mentor and pragmatic engineer, he practices TDD and participates actively in design and code reviews to maintain reliability, security and performance at scale. Notably, his cross-domain experience spans deep learning for geoscience to large-scale geo enrichment and notification systems, making him fluent at translating research into business value.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Université de Montréal
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Concordia University
English, French