Nuras Nogayev
Chief Technology Officer at ProtectorAI
Almaty, Kazakhstan
Summary
👤
Senior🎓
Top SchoolNuras Nogayev is a Chief Technology Officer and ML engineer with 9 years' experience building production-ready computer vision, NLP, and classic ML systems. He has led end-to-end ML efforts from research to deployment—optimizing inference with OpenVINO, serving models on AWS, and improving SQL pipelines for speed and memory efficiency. At Tinkoff he developed marketing effectiveness and media-mix models and is now applying LLMs to combat scam calls, showing a blend of applied ML and practical product impact. Earlier roles include skin segmentation models and data collection tooling via Telegram bots, plus pricing models and automation for real estate analytics. Trained in applied mathematics and physics at MIPT, he pairs rigorous academic foundations with hands-on engineering and operational focus. Based in Almaty, Kazakhstan, he brings a pragmatic approach to scaling ML in resource-constrained environments.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mathematical and Computer Modelling, Bachelor's degree, Mathematical and Computer Modelling at L.N.Gumilyov Eurasian National UniversityMaster's degree, Applied mathematics and physics, Master's degree, Applied mathematics and physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Github Skills (33)
deepstream9
retargeting8
nvidia8
visualizer7
tensorrt7
swing7
object-detection6
computer-vision6
cuda6
bayesian6
edge-computing6
opencv6
machine-learning6
inference-engine6
java6
Programming languages (6)
Github contributions (5)
OrionChocoPie/deep-learning-template
Mar 2021 - Apr 2022
Contributions:13 commits, 6 PRs, 8 pushes in 1 year 1 month
deep-learningpytorchpytorch-template
OrionChocoPie/arduino_dashboard
Jan 2022 - Jan 2022
Contributions:17 commits, 13 pushes, 1 branch in 12 days
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