matyushinleonid

Leonid Matyushin

Software Engineer | “Highly skilled migrant” residence permit

Amsterdam, North Holland, Netherlands

GitHub · LinkedIn · Telegram

Experience

Nebius

Software Engineer
August 2023 - Present Amsterdam, North Holland, Netherlands
Developed a controller for an in-house k8s operator to manage node readiness, ensuring user load is scheduled on fully ready bare metal nodes
Templated ClusterAPI components into Timoni modules, reducing code duplication and simplifying updates of infrastructural k8s clusters
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