Rasoul Asaee
Staff Machine Learning Engineer at Meta
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolRasoul Asaee is a Staff Machine Learning Engineer with 11+ years of experience building end-to-end ML systems that translate research-grade models into scalable, cost-efficient production services. He has driven high-impact initiatives at Scribd—reducing costs 20%+, launching multiple LLM-powered RAG products with 40K+ MAUs, and cutting inference latency in half—while recently joining Meta to continue at-scale ML work. His background as a research scientist at Natural Resources Canada and a Ph.D. in Mechanical Engineering gives him uncommon depth in quantitative modeling, techno-economic analysis, and policy-relevant energy systems, evidenced by NRCan innovation awards and large-scale housing-stock modeling. Comfortable across the stack, he combines model design, infra automation (Terraform, Jenkins, AWS), observability, and CI/CD to deliver production reliability and measurable business metrics. A seasoned mentor and cross-functional collaborator, he also modernized multi-language microservice communication and champions engineering best practices.
11 years of coding experience
16 years of employment as a software developer
Master’s Degree Mechanical Engineering, Master’s Degree Mechanical Engineering at Shiraz UniversityDoctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at Dalhousie UniversityMachine Learning Engineering Career Track Program, Machine Learning Engineering Career Track Program at Springboard
English, Persian
Github Skills (5)
energy-efficiency10
simulation9
batch8
optimization8
ruby6
Programming languages (2)
Github contributions (5)
asaee/ML_capstone_springboard
Aug 2021 - Mar 2022
Contributions:7 PRs, 40 pushes, 9 branches in 6 months
asaee/CHREM
Jan 2015 - May 2016
Contributions:13 pushes in 1 year 3 months
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