Danil Vishnyakov
@danilvishnyakov
I build production ML pipelines and models for data-intensive problems.
What I'm looking for
I've built and deployed ML solutions across Gazprombank, Genome AI, telecommunications, and data-focused business teams. At Gazprombank, I developed a PyTorch and Scikit-learn meta-learning framework for clustering algorithm selection and validation metric recommendation.
At AI Talent Hub, I automated genomic-data workflows with Docker and CI/CD, deployed ML models to production, and configured monitoring and scaling. Previously, I built Python ETL pipelines, Power BI dashboards, churn prediction models, and reporting automation that reduced preparation time by 20%.
I'm now focused on speech recognition, ASR for low-resource languages, and bringing research-driven models into production. I also write a technical Habr blog about ML, data analysis, and bioinformatics.
Experience
Work history, roles, and key accomplishments
AI Researcher
Gazprombank
Jan 2026 - Jul 2026 (6 months)
Developed a meta-learning framework for automatic clustering algorithm selection and internal validation metric recommendation using PyTorch and Scikit-learn. Worked with large datasets, extracted meta-features, and built benchmarks.
Education
Degrees, certifications, and relevant coursework
ITMO University
Master of Science, Artificial Intelligence
2025 -
Pursuing a Master's degree in Artificial Intelligence with in-depth study of deep learning, natural language processing, and computer vision.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
disk.yandex.ru/d/InONVZi4lO0c-ASocial media
Job categories
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