Erfan Miahi is a Machine Learning Research Engineer with 9+ years in AI, blending academic rigor—7 publications with 150+ citations and graduate work in the RLAI Lab under advisors tied to Richard Sutton—with ~5 years building production-grade ML/SaaS systems. He has led end-to-end RL and LLM projects from research prototypes to deployed pipelines, driving measurable impact such as multi-asset trading profit improvements and control optimizations in water treatment systems. As a founder and early-stage engineer, he co-created continual post-training and memory-augmented LLM systems, achieving faster inference and stepped gains in code generation and reasoning accuracy. Currently he’s focused on advancing LLM/VLM reasoning via reinforcement learning and is building decentralized, incentivized infrastructure for post-training models. Notably, his work spans both deep theoretical exploration (10k+ CPU experiments weekly in grad research) and hands-on systems engineering—automating complex ML stacks on ECS and optimizing training to cut costs and turnaround.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Computing Science, -, Master's degree, Computing Science, - at University of Alberta
High School, Math and Physics, High School, Math and Physics at National Organization for Development of Exceptional Talents (Sampad)
Bachelor Degree, Computer Engineering, Bachelor Degree, Computer Engineering at Guilan University
Contributions:23 commits, 20 pushes, 1 branch in 8 months
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Erfan Miahi - Machine Learning Research Engineer at Covenant AI