Dmitriy Maksimov
Руководитель Разработки at Гарда Технологии
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
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Rockstar🎓
Top SchoolDmitriy Maksimov is a results-driven engineering leader with 18+ years of hands-on and managerial experience and four years focused in senior leadership roles, currently heading a 30-person development effort at Гарда Технологии. He combines deep technical fluency across C++, Go, Python, TypeScript, React, ML, Kubernetes and Docker with disciplined project processes—scoping, staffing, code review and metrics-driven reporting—to deliver large-scale, cloud and AI-infused systems. His background spans driving AI inference and benchmarking at Huawei, AWS cloud projects at Intel, and long-term embedded and VxWorks expertise from early-career engineering, giving him rare cross-domain credibility from low-level debugging to cloud-native orchestration. Known for establishing the processes that keep complex, geographically distributed teams productive, he balances tactical execution with strategic roadmaps and hiring. Colleagues value him for bridging technical depth with operational rigor and for mentoring engineers into resilient teams that ship.
4 years of coding experience
15 years of employment as a software developer
Engineer's degree, Mathematics and Computer Science, Engineer's degree, Mathematics and Computer Science at Mathematics and Cybernetics Nizhniy Novgorod State University
English
Github Skills (28)
diffusion-models10
computer-vision10
nlp10
recommendation-system9
transformers9
openvino9
llm-inference9
inference-engine9
stable-diffusion9
inference9
natural-language-processing9
ai9
generative-ai9
deep-learning9
speech-recognition9
Programming languages (2)
Github contributions (2)
openvinotoolkit/openvino
Aug 2021 - Aug 2021
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Contributions:1 review, 2 comments in 14 days
inference-enginepytorchmodel-optimizerdeep-learninggpu
alpa-projects/alpa
Sep 2023 - Sep 2023
Training and serving large-scale neural networks with auto parallelization.
Contributions:2 comments in 1 day
alpatputrainingcompilertensorflow
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