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Mikhail Sarafanov

@mikhailsarafanov

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Senior Data Scientist with expertise in machine learning and software development.

Finland

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth, focusing on impactful machine learning projects.

I am a Senior Data Scientist with a Master’s degree in Applied Mathematics and seven years of experience in software development and machine learning. My expertise lies in backend development, design patterns, and implementing robust data collection pipelines. I have a proven track record of translating complex business requirements into technical specifications, ensuring seamless implementation and configuration of solutions.

Throughout my career, I have successfully led teams and projects, notably reducing web service response times significantly while optimizing resource utilization for clients. My technical skills include proficiency in Python, JavaScript, and various machine learning frameworks, complemented by my ability to present technical information to non-technical audiences. I am passionate about continuous learning and contributing to open-source projects, which has allowed me to stay at the forefront of technological advancements.

Experience

Work history, roles, and key accomplishments

WÄ

Current

Senior Software Developer

Current

Wärtsilä

May 2024 - Present (1 year 3 months)

Maintained a highly loaded service on Kubernetes, optimizing vessel resource utilization and reducing web service response time from 74 to 5 seconds. Prepared and maintained technical documentation for critical legacy infrastructure, supporting business unit operations.

Python BASH Docker Kubernetes Google Cloud Platform RabbitMQ Ipywidgets IPyWidgets

Senior Data Scientist

Wiredhut

Aug 2022 - Present (3 years)

Led machine learning functionality development from end-to-end service design to productization, including model and data versioning and monitoring using MLFlow. Built an asynchronous web interface and integrated parallel data processing, speeding up statistical model computations by 4.3 times.

Python JavaScript fastAPI AsyncIO Starlette scikit learn MLFlow Dask SQLAlchemy Alembic Docker PostgreSQL PostGIS MongoDB AWS AWS S3 QGIS

Machine Learning Researcher

ITMO University

Aug 2020 - Present (5 years)

Managed the preparation and publication of 3 machine learning papers in highly ranked scientific journals. Guided the development of an automated machine learning open-source framework for various tasks, including regression, classification, image segmentation, and Bayesian modeling.

Python R Linux GitHub PyTorch Hyperopt scikit learn Pandas Pytest LaTeX

Software Engineer / Researcher

State Hydrological Institute

Aug 2019 - Present (6 years)

Developed a Machine Learning model for predicting water levels in rivers in northwestern Russia. This model was a vital part of Roshydromet's forecasting system, crucial for preventing emergency flooding cases.