Leonid Stryzhevskyi is a Machine Learning Engineer and founder with 11+ years building high-performance systems, best known as the creator of the oatpp C++ web framework used in TechEmpower benchmarks. He blends low-level systems and backend engineering with applied ML, currently designing on-device CLIP-powered search and concurrent vector indexing for desktop platforms. His track record spans founding open-source projects, leading mobile and distributed systems work, and consulting on R&D for real-time applications. Notably, his contributions include async and chunked HTTP stream improvements in oatpp and integrating its implementations into widely cited benchmark suites—demonstrating both production-grade engineering and an eye for measurable performance. Based in Ukraine, he pairs entrepreneurial drive (CEO/Founder at Graspity) with hands-on research and implementation skills across C++, mobile, and ML stacks.
11 years of coding experience
14 years of employment as a software developer
Master of computer science Computer Science, Master of computer science Computer Science at National Aviation University in Kiev
🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
Role in this project:
Back-end Developer
Contributions:20 releases, 172 reviews, 1227 commits in 4 years 11 months
Contributions summary:Leonid primarily contributed to enhancing the data stream capabilities of the C++ web framework, `oatpp/oatpp`. They introduced an improved `transferAsync` function, refactored the existing `transfer` methods, and implemented a chunked encoding/decoding functionality for HTTP protocol support. Additionally, the user made changes to the test suite, including modifying test cases to utilize the new `transferAsync` method.
Source for the TechEmpower Framework Benchmarks project
Role in this project:
Backend Developer
Contributions:9 commits, 8 PRs, 9 comments in 10 months
Contributions summary:Leonid primarily contributed to the development of the oatpp framework within the TechEmpower Framework Benchmarks project. Their work involved adding and integrating the oatpp framework, including both async and thread-based implementations, by creating components, controllers and associated dependencies. The user also updated the oatpp framework version over several commits and configured the dockerfiles for testing the various oatpp implementations.
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Leonid Stryzhevskyi - Machine Learning Engineer at 044.ai