Danil Pinaev is a software engineer with seven years of practical experience focused on full-stack development and deep learning integration. He contributed a classification demo to the high-profile open_model_zoo (OpenVINO) repository, implementing image I/O, network reshaping, and device configuration to optimize inference workflows. As a student-driven developer he blends hands-on coding with curiosity, often tackling performance and deployment details that bridge research models and production demos. Comfortable across the stack, he favors pragmatic solutions that make ML models more accessible and efficient on edge devices. Though self-described as a "poor student with ambitions," his open-source contributions demonstrate a professional ability to deliver working integrations in complex ML toolchains.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:
Full-stack Developer
Contributions:37 reviews, 58 commits, 4 PRs in 1 year 6 months
Contributions summary:Pinaev implemented a classification demo, adding and modifying files related to image classification. This involved setting up the necessary components, including reading images and reading the network. The user also reshaped the network and configured device settings for optimal performance. These changes suggest a focus on integrating and utilizing a deep learning model within the OpenVINO framework.
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.