Mohammad Amin Soleimanzade
Machine Learning Engineer @ISL
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WORK HISTORY
Machine Learning Engineer @ISL
Edmonton, AB, CA
Developing and implementing reinforcement learning solutions to optimize water treatment processes, enhancing operational efficiency and resource management.
EDUCATION
National Organization for Development of Exceptional Talents (Sampad)
High School Diploma
University of Alberta
Master of Science - MS
Sharif University of Technology
Bachelor of Science - BS
ABOUT MOHAMMAD AMIN SOLEIMANZADE
As a passionate and results-driven Machine Learning Engineer with over 4 years of hands-on experience in Machine Learning and Reinforcement Learning, I have collaborated with various companies to identify areas for improvement, provide actionable insights, and optimize their operations using advanced machine learning and reinforcement learning algorithms. I have a proven track record of delivering innovative, data-driven solutions to industrial challenges across diverse domains such as energy optimization, water treatment, optical fiber communication, and alarm flood analysis. I thrive on solving real-world problems by collaborating with cross-functional teams, continuously learning state-of-the-art techniques, and bridging the gap between theoretical models and robust, scalable solutions. Key highlights: • Proficient in implementing and adapting deep reinforcement learning algorithms for process engineering problems to develop sample-efficient and inference-efficient control strategies that enhance KPIs. • Extensive experience in designing time series forecasting models using deep learning techniques, empowering clients with data-driven insights for strategic decision-making. • Skilled at translating complex machine learning research papers and ideas into high-quality, production-ready code and functional prototypes. Tech stack: Python, MATLAB, C, PyTorch, TensorFlow, Keras, Transformers, scikit-learn, pandas, NetworkX, NumPy, Git/GitHub, Object-Oriented Programming (OOP), Data Structures and Algorithms, MLOps, CI/CD
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