Josh Zwiebel
Forward Deployed Engineer at Ideogram
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJosh Zwiebel is a Forward Deployed Engineer and data scientist with ~8 years of experience building ML-driven products across insurance, automotive, and startup environments. He has shipped production systems—APIs on AWS ECS, Dockerized ML services, and scalable recommendation and appraisal models—while improving performance and developer experience through cleaner code and caching strategies. His background spans research (meta-learning at Huawei, image-processing at Weizmann), applied ML at Munich Re for accelerated underwriting, and hands-on startup work at nugget.ai and TradeRev. Currently building a personal RAG LLM for his Google Drive, he combines practical deployment skills with a knack for turning messy data pipelines into reliable ML features. Based in Toronto, he’s pursuing further AI study and balances engineering with endurance training (Toronto Waterfront Half Marathon).
8 years of coding experience
4 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at University of OttawaBachelor of Engineering - BE Mechatronics Robotics and Automation Engineering Option in Artificial Intelligence, Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering Option in Artificial Intelligence at University of Waterloo
Stackoverflow
933reputation
66kreached
16answers
30questions
Github Skills (103)
python10
sagemaker10
datasets10
deep-learning10
speech10
transformer10
nlp10
multiclass-classification10
jupyter10
data-science10
reinforcement-learning10
tensorflow10
natural-language-processing10
jupyter-notebook10
amazon10
Programming languages (6)
Github contributions (5)
joshzwiebel/Kaggle-Competitions
Jun 2019 - Jan 2025
Contributions:19 pushes, 3 branches in 5 years 8 months
joshzwiebel/Disaster-Tweets
Feb 2020 - Apr 2020
An exploration of the Kaggle disaster Tweets dataset and development of a predictive model
Contributions:23 commits, 5 PRs, 21 pushes in 2 months
kaggledisasterdatasetmachine-learningpredictive
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