Soroosh Rezazadeh
Machine Learning Engineer
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolSoroosh 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.
10 years of coding experience
University of Quebec
English, French, Persian
Github Skills (33)
anomaly-detection10
bag-of-words10
expectation-maximization10
seq2seq10
principal-component-analysis10
tf-idf10
variational-inference9
python9
machine-learning9
time-series9
linear-algebra9
tensorflow9
deep-learning9
forecasting9
sentiment-analysis9
Programming languages (4)
Github contributions (5)
soroosh-rz/Mathematics-for-Machine-Learning
Apr 2019 - May 2019
Mathematics for Machine Learning Specialization
Contributions:45 commits, 40 pushes, 1 branch in 14 days
machine-learningmathematicslinear-algebramultivariable-calculusmachine-learning-mathematics
soroosh-rz/Bayesian-Methods-for-Machine-Learning
May 2019 - Jun 2019
Bayesian Methods for Machine Learning
Contributions:32 commits, 30 pushes, 1 branch in 1 month
bayesian-methodsmachine-learninglatent-variable-modelsexpectation-maximizationvariational-inference
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