Ahmadreza Hamzei is a data scientist and technical lead with six years of experience applying machine learning and quantitative techniques to asset management and high-frequency crypto trading. A Sharif University of Technology computer engineering graduate, he blends classical time-series methods (ARIMA, GARCH) with modern deep learning (LSTMs, Transformers) to build interpretable, production-ready models that manage multimillion-dollar portfolios. He has led teams at Mofid Asset Management, shipping products like a robo-advisor and an enhanced equally weighted index fund, and has hands-on experience building low-latency trading systems using C/C++, PostgreSQL, and ClickHouse. Known for bridging research and engineering, he focuses on robustness, data integrity, and long-term strategic direction while continuously exploring reinforcement learning, systems, and robotics.
6 years of coding experience
4 years of employment as a software developer
Diploma of Education, Mathematics, Diploma of Education, Mathematics at Alborz Highschool
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Sharif University of Technology
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