Emin Mammadov
Waterloo, Ontario, Canada
Summary
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RockstarEmin Mammadov is a Senior Software Developer specializing in building Kubernetes-based, production-grade machine learning platforms, currently leading the Machine Learning Platform team at Geotab. Over seven years he has delivered scalable MLOps solutions—CI/CD to push models in one to two clicks, GPU-enabled Milvus on k8s, MLflow integrated with Jupyter behind IAP+ASM, and an event-driven pipeline for contractor image processing. He also introduced Ray into the ecosystem and secured stakeholder buy-in to expand distributed training and serving capabilities. With an MASc from the University of Waterloo and a published thesis on fault prediction, he bridges academic ML research and pragmatic, production-focused engineering.
7 years of coding experience
Github Skills (52)
similarity10
image-search9
vector-search9
llm9
vector-database9
approximate-nearest-neighbor-search9
plotly9
golang9
database9
computer-science9
scalable9
faiss9
vector9
cosine-similarity9
nearest-neighbor-search9
Programming languages (6)
Github contributions (5)
iameminmammadov/dash-predictive-maintenance
Mar 2021 - Apr 2021
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
Contributions:13 commits, 15 PRs, 46 pushes in 1 month
xgboostwind-turbinesfailwindmachine-learning
iameminmammadov/bigmart
Oct 2020 - Dec 2020
Contributions:8 PRs, 91 pushes, 8 branches in 2 months
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