Summary
Nima Mahmoudi is a Machine Learning Engineer at Meta with a decade of experience building ML systems, leading Generative AI and AutoML efforts, and shipping production models that improve operational efficiency and customer experience. His background blends academic rigor—PhD research and open-source tools for optimizing serverless and cloud performance—with hands-on product work as a technical lead at TELUS and founder/CTO of a hardware startup. He has taught courses and led labs at multiple universities and colleges, bringing strong communication and curriculum design skills to complex engineering topics. Comfortable across the stack, he has built simulators, performance models, embedded devices, and web services, and has repeatedly scaled projects from research prototypes to deployed solutions. A high-achieving multitasker, he pairs deep systems knowledge with applied ML intuition, and has a knack for turning resource-constrained ideas into funded, user-facing products.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of Alberta
Amirkabir University of Technology
Diploma, Mathematics and Physics, 19.19/20, Diploma, Mathematics and Physics, 19.19/20 at Hashtroudi
English, Persian