Adrian Tobiszewski
AI Software Engineer at Intel Corporation
Gdańsk, Pomeranian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolAdrian Tobiszewski is an AI Software Engineer with eight years of experience building and validating inference solutions and deep learning software at Intel, focusing on cloud and on-premise deployment for neural network processors. He blends backend and MLOps expertise—contributing to the OpenVINO model server to extend efficient deserialization and model-serving capabilities—with a strong systems background from low-level validation on Xeon Phi and device drivers. Comfortable leading small teams and contract workers, Adrian pairs hands-on coding in C++/Python with test automation, lab support, and metrics-driven monitoring. Trained in mathematics, bioinformatics and physics at Gdańsk University of Technology, he brings a quantitative, research-informed approach to production ML engineering. An attention to memory-efficient data handling and real-world deployment constraints distinguishes his work across both research and enterprise settings.
8 years of coding experience
8 years of employment as a software developer
III High School in Gdańsku "Topolowka"Master's degree, Mathematics, Bioinformatics, Master's degree, Mathematics, Bioinformatics at Gdansk University of Technology
Polish, English
Github Skills (9)
deserialization10
c-language10
cprogramming-language10
openvino9
inference9
machine-learning8
tensorflow8
ai7
deep-learning7
Programming languages (7)
Github contributions (5)
openvinotoolkit/model_server
Mar 2020 - Jan 2023
A scalable inference server for models optimized with OpenVINO™
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:8 releases, 2266 reviews, 320 commits in 2 years 10 months
Contributions summary:Adrian primarily focused on implementing and improving backend functionality related to model serving, including the ability to deserialize various data types. They added new features for extending deserialization capabilities, specifically enabling the handling of different data types and optimizing for memory efficiency. They also implemented changes for a specific model type, demonstrating an understanding of model serving and machine learning deployment processes. These contributions highlight expertise in backend systems, data handling, and machine learning model integration.
pytorchscalableservingdeep-learningdag
atobiszei/model_api
May 2023 - Oct 2024
Contributions:9 pushes, 2 branches in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.