Farzin Sarvaramini
Machine Learning Engineer at OpenTable
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolFarzin Sarvaramini is a Machine Learning Engineer with 11 years of experience building scalable ML infrastructure and MLOps platforms across enterprise and cloud environments. He has designed and productionized feature engineering pipelines, model serving workflows, and ingestion systems using tools like Airflow, PySpark, Kubeflow, and GCP (Vertex AI, Firestore). At Bell he stood up a Kubeflow-based platform for ~40 data scientists and led cloud migration proofs-of-concept, and at Loblaw he migrated feature-store configurations and built robust batch prediction pipelines. Now based in Old Toronto and currently at OpenTable, he combines hands-on engineering with platform thinking to turn ML experiments into reliable, repeatable production systems. His background includes an MS in Computer Science and early experience teaching C++ fundamentals, which contributes to a strong foundation in software engineering best practices.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Western UniversityBachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Iran University of Science and Technology
Persian, English, French
Github Skills (49)
persian9
normalization9
lemmatization9
stopwords9
farsi9
tokenizer9
scale8
text-processing8
networking8
keyword-extraction8
notebook8
morphological-analysis8
jupyter8
container7
serverless7
Programming languages (5)
Github contributions (5)
Farzin-S-Amini/presentation-maker
Mar 2016 - Jul 2016
Contributions:2 PRs, 41 pushes, 1 branch in 3 months
farzinsarvaramini/Node-Red-Incremental-Learning
Aug 2019 - Nov 2019
Contributions:15 pushes, 1 branch in 3 months
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