Alexander Shchepetov
Web3 Developer at azuro
Russia
Summary
🤩
Rockstar🎓
Top SchoolAlexander Shchepetov is a Web3 developer and protocol architect with 5–6 years of hands-on experience designing secure, revenue-generating smart contract systems and full-stack DApp infrastructure. At azuro he built cross-chain contracts that reached $10M TVL and helped generate $4.5M in revenue while supporting a protocol turnover above $367M, and expanded functionality to Solana and TON. He pairs rigorous smart contract engineering (Solidity, Hardhat, Foundry) with backend systems work (FastAPI, The Graph, Dune) and pragmatic R&D, including machine-learning-driven optimizations for prediction markets and token mechanics. Before Web3 he improved reliability of deep learning workloads at Intel by building automated testing and benchmarking for the widely used OpenVINO toolkit, demonstrating strong QA and systems skills. Trained in blockchain at MFTI and with a background in Python backend development, he blends research-level knowledge with production-grade delivery and a knack for rapid MVP iterations and cross-chain experiments. Notably, his profile combines low-level testing expertise from a major open-source AI project with high-stakes DeFi protocol design.
5 years of coding experience
2 years of employment as a software developer
Master of Technology - MTech, Blockchain, Master of Technology - MTech, Blockchain at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)Bachelor's degree, Business Informatics, Bachelor's degree, Business Informatics at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
English, Russian
Github Skills (11)
pytest10
python10
openvino10
test-automation10
performance-testing10
inference9
c-language8
computer-vision8
cprogramming-language8
ai7
deep-learning7
Programming languages (2)
Github contributions (3)
openvinotoolkit/openvino
Apr 2021 - Oct 2021
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:19 reviews, 11 commits, 20 PRs in 5 months
Contributions summary:Alexander primarily contributed to the testing infrastructure within the OpenVINO repository. Their work included adding and modifying tests to evaluate the performance and functionality of various components, such as convolutional layers and conditional compilation features. These changes involved creating new test cases, adapting existing tests, and incorporating features to collect and submit test results to a database. The user also implemented tests to measure memory leaks, focusing on multi-stream inference scenarios.
inference-enginepytorchmodel-optimizerdeep-learninggpu
alexander-shchepetov/openvino
Apr 2021 - Oct 2021
OpenVINO™ Toolkit repository
Contributions:8 PRs, 159 pushes, 13 branches in 5 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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