Dmitrii Khizbullin
Applied AI ML Engineer Lead at KAUST (King Abdullah University of Science and Technology)
Thuwal, Makkah Region, Saudi Arabia
Summary
🤩
Rockstar🎓
Top SchoolDmitrii Khizbullin is an Applied AI/ML Engineer Lead with 8 years of experience building deep learning systems for visual perception across autonomous driving, robotics, cloud and edge deployments. He combines hands-on research and production engineering—designing 3D object detection, LiDAR-camera alignment, and distributed training/tensor compiler work—while leading applied teams at KAUST and research engineering at Huawei. Dmitrii has deployed perception networks to hundreds of robots in production and taught computer vision and tensor compilers at MIPT, reflecting both practical impact and academic depth. An active full‑stack contributor to open-source projects, he built a Gradio-based data explorer for the widely noted CAMEL multi-agent framework, bridging model research and usable tooling. Based in Thuwal, Saudi Arabia, he brings a rare blend of embedded-performance optimization, cloud/edge scalability, and multi-agent dataset experience.
8 years of coding experience
9 years of employment as a software developer
Master's degree Engineering Physics/Applied Physics, Master's degree Engineering Physics/Applied Physics at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
English, Russian, German
Stackoverflow
51reputation
3kreached
2answers
0questions
Github Skills (17)
data-exploration10
python10
webui10
gradio10
natural-language-processing9
agent8
large-language-models8
artificial-intelligence7
deeplearning-ai7
deep-learning7
deadlock6
multiagent-systems6
shared-memory6
multi-agent6
numpy6
Programming languages (5)
Github contributions (5)
camel-ai/camel
Mar 2023 - Nov 2023
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:266 reviews, 74 PRs, 149 pushes in 7 months
Contributions summary:Dmitrii primarily contributed to the development of a Gradio-based data explorer for the CAMEL dataset. Their work included the creation of a web UI using Gradio, incorporating interactive elements such as dropdowns and text areas. The user implemented features to facilitate the exploration of chat data, likely involving data loading and display functionalities. They also integrated the project with a dataset selector and added a disclaimer related to the use of the data.
agentai-societiesartificial-intelligencecommunicative-aicooperative-ai
Obs01ete/pytorch-detection
Jul 2018 - Sep 2021
Contributions:8 commits, 18 pushes, 5 branches in 3 years 1 month
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