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