Oleksii Shablevskiy is a Machine Learning Engineer and seasoned technology leader from Kyiv with a decade of experience building AI-driven SaaS and high-load platforms. As co-founder and former acting CTO of Ocean.io, he led the design and delivery of a semantic web search engine, bridging business requirements and hands-on engineering to create an investor-backed product. He combines broad leadership roles—from CIO and engineering manager to platform lead—with deep Python backend craftsmanship, including contributions to the popular fake-useragent library improving caching, testing, and edge-case handling. Oleksii is comfortable oscillating between strategic architecture and low-level implementation, optimizing infrastructure and release processes to ensure reliable production ML. His background in computer systems and security engineering gives him a pragmatic, systems-oriented approach to AI in production and resilient platform design.
10 years of coding experience
9 years of employment as a software developer
National Technical University "Kharkiv Polytechnic Institute"
Up-to-date simple useragent faker with real world database
Role in this project:
Back-end Developer
Contributions:39 commits, 11 PRs, 14 comments in 3 months
Contributions summary:Oleksii primarily focused on improving the functionality and reliability of a Python-based user-agent faker library. Their contributions involved implementing a Heroku cache for data retrieval, adding an endpoint, reworking and adding custom exceptions. They also addressed testing by reworking tests and added test cases related to the cache server. Further improvements included code cleanup, version updates, and a fix related to handling IE/Edge user agents.
Contributions:19 pushes, 16 branches, 2 tags in 3 months
useragentdatabasefakerup-to-date
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Oleksii Shablevskiy - Machine Learning Engineer at ocean.io