Summary
Amir Tahmasbi is a Senior Applied Scientist with 8 years of experience building data-driven systems and production ML services, currently progressing through applied science roles at Amazon in Vancouver. He has delivered fraud prevention, predictive models, and data pipelines across domains from Ethereum blockchain analytics to clean energy, combining academic rigor from a PhD in Computational Electrochemistry with hands-on engineering. Proficient in Python, TensorFlow/Keras, BigQuery, Kafka and GCP, he bridges research and production—shipping models, scalable pipelines, and visualization-driven insights. Notably, his background spans both startup and enterprise settings (Dapper Labs, ehsAI) where he transitioned prototypes into robust backend services. A lifelong learner who enjoys exploring new frameworks and languages, he brings experimental design sensibilities and practical problem-solving to ambiguous data problems.
8 years of coding experience
10 years of employment as a software developer
Master's degree Energy system engineering, Master's degree Energy system engineering at Sharif University of Technology
Data Scientist Nanodegree Data Processing, Data Scientist Nanodegree Data Processing at Udacity
Doctor of Philosophy (PhD) Computational Electrochemistry, Doctor of Philosophy (PhD) Computational Electrochemistry at Simon Fraser University
English, Persian, Kurdish, Turkish