Alexander Danilov
Web3 Developer at My own software in web3
Phuket Province, Thailand
Summary
🤩
Rockstar🎓
Top SchoolAlexander Danilov is a Web3 developer and Python engineer with a background in maritime engineering who pivoted to tech in 2021 and now builds trading software and automation tools for the NFT/Web3 space. He combines data-analysis skills (Pandas, NumPy, scikit-learn, Airflow) with hands-on backend work—contributing performance and UX improvements to an open-source Russian offline voice assistant by adding graceful shutdowns, TTS caching, and colored CLI output. Experienced deploying on cloud providers like AWS, YandexCloud, and DigitalOcean, he also built bots and monitoring systems for a 300-member NFT community that collectively generated six-figure returns for participants. Based in Phuket, Alexander brings practical ops experience from ship engineering to reliable, production-focused software and is keen to join a professional team to apply and broaden his Web3 and data skills.
13 years of coding experience
2 years of employment as a software developer
Специалитет, Эксплуатация судовых энергетических установок, Специалитет, Эксплуатация судовых энергетических установок at Государственный университет морского и речного флота имени адмирала С.О. Макарова
Russian, English
Github Skills (8)
speech-recognition10
python10
webapi9
fastapi9
caching8
multiprocessing7
python-multiprocessing7
multi-process7
Programming languages (11)
Github contributions (5)
janvarev/Irene-Voice-Assistant
May 2022 - Jan 2023
Ирина - русский голосовой ассистент для работы оффлайн. Поддерживает скиллы через плагины.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 7 PRs, 2 comments in 8 months
Contributions summary:Alexander contributed to the core functionality of the Irene voice assistant project. They implemented a graceful shutdown procedure for the web API, ensuring proper process termination. The user also added a caching mechanism for text-to-speech (TTS) responses, optimizing performance and allowing for offline playback. Furthermore, the user improved the user experience by formatting the output of information about available TTS engines, plugin commands, and assistant names using color-coded text and integrating the termcolor library.
pythonspeech-recognitionspeech-synthesisvoicetts
IITC-CE/lib-iitc-manager
Apr 2022 - Feb 2023
Contributions:19 releases, 94 commits, 82 PRs in 9 months
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