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# Leonid Matyushin [<img src="https://github.githubassets.com/images/icons/emoji/shipit.png" width="50"/>]() | ||
### Software Engineer "Highly skilled migrant" residence permit | ||
#### Amsterdam, North Holland, Netherlands | ||
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### About | ||
[GitHub](https://github.com/matyushinleonid) · [LinkedIn](https://linkedin.com/in/matyushinleonid) · [Telegram](http://t.me/matyushinleonid) | ||
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[<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/>]() Software Engineer | ||
[<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/>]() Amsterdam, Netherlands | ||
[<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/>]() "Highly Skilled Migrant" residence permit | ||
## Experience | ||
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### Links | ||
[<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/>]() [GitHub](https://github.com/matyushinleonid) | ||
[<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/>]() [LinkedIn](https://linkedin.com/in/matyushinleonid) | ||
[<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/>]() [Telegram](http://t.me/matyushinleonid) | ||
### Yandex | ||
**Software Engineer** | ||
August 2023 - Present Amsterdam, North Holland, Netherlands | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Designed and implemented machine translation and text-to-speech microservices as parts of the video translation backend | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Designed and implemented REST API for the video translation backend | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Migrated data from AWS S3 to Nebius S3. It saves $2k a month on data storage | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Created monitoring, logging, and alerting systems for the video translation pipeline | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Designed and implemented CI/CD for the backend. Release process became fast and smooth | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Speeded up backend test stage (from 60 to 10 minutes total) | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Speeded up backend build stage from 5 minutes to seconds with Dockerfile refactoring | ||
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### NtechLab | ||
**Software Engineer** | ||
November 2020 - August 2023 (2 years 10 months) Moscow, Moscow City, Russia | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Designed and developed an internal service measuring FPS and GPU/RAM consumption | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Implemented multiple airflow DAGs for the data labeling workflow in the R&D department | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Developed NSFW content detection model (image classification) | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Built a falling people detection model (action recognition) | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Improved face recognition model via neural architecture search techniques | ||
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### Laboratory of Methods for Big Data Analysis | ||
**Research Intern** | ||
January 2020 - November 2020 (11 months) Moscow, Russian Federation | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Conducted seminars on Data Analysis for undergraduate students | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Assisted at Sixth Machine Learning in High Energy Physics Summer School seminars | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Built an oil production prediction model for Saudi Aramco Moscow office | ||
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### Deeplight Ventures | ||
**Software Engineer** | ||
February 2019 - February 2020 (1 year 1 month) Moscow, Russian Federation | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Won second prize in an oil reservoir image segmentation competition | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Built a pump failure prediction model | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Implemented an optimization procedure for well interventions on an oil field | ||
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### Sberbank | ||
**Data Science Intern** | ||
August 2017 - September 2017 (2 months) Moscow, Russian Federation | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> Designed and developed a dataset for an NLP contest | ||
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## Education | ||
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- **Master's degree, Data Science** | ||
Higher School of Economics · (2018 - 2020) | ||
Skolkovo Institute of Science and Technology · (2018 - 2020) | ||
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- **Bachelor's degree, Mathematics** | ||
Higher School of Economics · (2014 - 2018) | ||
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## Skills | ||
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- **Programming**: Python, PyTorch, PyTorch Lightning, TorchServe, TensorRT, OpenVINO, FastAPI, Flask, Pandas, NumPy, matplotlib, Plotly, CatBoost, XGBoost, scikit-learn | ||
- **Tools**: Git, GitLab CI/CD, GitHub Actions, Docker, Docker Compose, Kubernetes, Helm, AWS (S3, SQS, Secrets Manager), Postgres, MongoDB, RabbitMQ, Celery, Airflow, Prometheus, Grafana | ||
- **Languages**: English, Russian | ||
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## Competitions | ||
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- **Rosneft Seismic Challenge** | ||
Oct 2019 - Dec 2019 | boosters.pro | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> International Computer Vision competition (image segmentation), 2nd place (98 participating teams) | ||
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## Courses | ||
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- **System Design** | ||
Jan 2023 - Feb 2023 | karpov.courses | ||
<img src="https://github.githubassets.com/images/icons/emoji/suspect.png" width="20"/> A course on designing distributed high-load systems, graduated with honors |