Soroosh Rezazadeh is a Machine Learning Engineer with 10 years of experience building practical ML and data science solutions, located in Old Toronto. He combines strong mathematical modeling and Bayesian expertise with hands-on deep learning (TensorFlow, PyTorch, Keras) and scalable data engineering across Spark, Hadoop, and cloud platforms (GCP, AWS). Comfortable across the stack, he writes production-ready code in Python, C++, Java and uses DevOps tooling like Docker, Kubernetes and CI/CD to operationalize models. Known for clear communication and teamwork, he blends research-minded algorithm development with pragmatic product delivery. He also leverages Bayesian libraries (PyMC3, GPy) and AutoML/AI Platform tooling to accelerate experimentation and deployment. Quick to learn and highly adaptable, he often imports and exports cross-disciplinary ideas to bridge algorithmic rigor and real-world impact.
Contributions:45 commits, 40 pushes, 1 branch in 14 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.