Dmitry Dudkevich
Python AI Developer at A-Players
Belarus
Summary
🤩
Rockstar🎓
Top SchoolDmitry Dudkevich is a Python AI developer with a decade of engineering experience and 5+ years focused on building Retrieval-Augmented Generation systems and production-ready AI pipelines. He has designed scalable conversational agents and real-time speech-translation stacks using LLaMA, GPT-4, Whisper, Milvus, and optimized inference with CTranslate2 and Cerebras deployments. Dmitry combines hands-on backend skills—PostgreSQL, REST APIs, deployment automation and CI tooling contributions to projects like CatBoost—with practical integration of external services (Azure, Google, AWS) for speech and translation. His background includes improving legacy testing frameworks and streamlining build/test automation, reflecting a knack for stabilizing complex systems. Based in Belarus, he pairs a civil engineering education with cross-discipline experience from sales leadership to machine-learning engineering, which helps him translate ambiguous product needs into robust technical solutions.
10 years of coding experience
4 years of employment as a software developer
Civil Engineering, Civil Engineering at Полоцкий государственный университет
Github Skills (20)
javascript10
testing10
test-framework10
bash10
cicd10
automation10
automation-testing10
jestjs10
build-automation10
automations10
test-automation10
npm9
nodejs9
typescripts8
typescript-types8
Programming languages (11)
Github contributions (5)
gemini-testing/gemini
Jul 2016 - Nov 2019
💀💀💀[DEPRECATED] Use hermione
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:15 releases, 128 commits, 87 PRs in 3 years 4 months
Contributions summary:Dmitry appears to be focused on improving the Gemini testing framework, which is deprecated in favor of Hermione. The commits include changes to the suite runner, specifically the decorator suite runner, addressing event handling and URL modifications. The user also made changes related to screen updating and test processing logic, with the overall aim of stabilizing and improving the deprecated test framework.
hermionewebdriverselenium
catboost/catboost
Aug 2022 - Jan 2023
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Role in this project:DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:10 commits in 5 months
Contributions summary:Dmitry primarily contributed to the automation and configuration of testing infrastructure and deployment processes within the repository. Their commits demonstrate expertise in integrating and configuring testing tools like Hermione and Jest, as well as scripting using Bash and related build tools. Furthermore, the user updated and managed external resources and build configurations for the project. The user's work supported creating a more efficient and streamlined development workflow.
kagglexgboostpythondata-mininglightgbm
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