Sergei Vakhreev
Deep Learning Engineer at Refact.ai
Adelaide, South Australia
Summary
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RockstarSergei Vakhreev is a Deep Learning Engineer based in Adelaide with 11 years of experience designing and shipping production AI and computer vision systems. He has transitioned from a strong C++ embedded and systems background through roles at Yokogawa and ELVEES NeoTek into specialist CV and deep learning work at DSSL and Refact.ai, blending low-level performance engineering with modern ML pipelines. Sergei is experienced in taking models from research to robust deployments, particularly in industrial and surveillance contexts, and he brings practical mechatronics and robotics training to inform sensor and system integration. Colleagues rely on his ability to optimize on-device inference and architect scalable vision stacks that meet real-world constraints.
11 years of coding experience
3 years of employment as a software developer
Russian, English
Github Skills (61)
pytorch10
ai-agent10
jetbrains-ides10
agentic10
llama10
ide10
open-source10
inference10
tpu10
amd10
llm10
openai10
vision-transformer10
vscode10
ai10
Programming languages (8)
Github contributions (5)
smallcloudai/vllm
Jul 2023 - Nov 2024
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:1 PR, 39 pushes, 7 branches in 1 year 4 months
inference
JegernOUTT/mmdetection
Oct 2019 - Dec 2021
Open MMLab Detection Toolbox and Benchmark
Contributions:59 commits, 113 pushes, 13 branches in 2 years 2 months
benchmarktoolboxobject-detection
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