Fähigkeiten
Zusätzliche Fähigkeiten (12)
Yurii in wenigen Worten
Experienced Data Scientist/Machine Learning Engineer with a focus on Deep Learning. Knowledge and practical experience with all branches of ML - Supervised, Unsupervised and Reinforcement Learning as well as various fields of application. I also taught a course on AI at Karlsruhe University of Applied Sciences.
Projekt- und Berufserfahrung
- BASFFreelance Data Scientist/AI EngineerOktober 2023 - Heute (1 Jahr und 5 Monate)○ Designed and implemented Large Language Model (LLM)-based solutions, integrating APIs to deliver intelligent and scalable applications using Azure AI Services and Azure OpenAI.○ Managed the entire lifecycle of LLM-based products, from proof-of-concept to deployment, leveraging Azure DevOps for CI/CD pipelines, monitoring, and continuous improvements.○ Developed and optimized API endpoints (FastAPI and Flask) to efficiently serve LLM-powered functionalities, ensuring seamless integration and performance across cloud-native applications on Azure.○ Led cross-functional teams in building, testing, and deploying LLM-based products.○ Ensured compliance, security, and cost-effectiveness of LLM products on Azure by implementing best practices in API management, scalability, and monitoring through Azure API Management.
- Bayer AGBackend EngineerCHEMIEJuli 2023 - Oktober 2024 (1 Jahr und 4 Monate)○ Developing LLM-based applications for stakeholders’ decision makingsupport.○ In charge of MLOps practices, streamlining the end-to-end machinelearning lifecycle and optimizing the efficiency of model deploymentand monitoring.○ Established and maintained a robust machine learning modelregistry, ensuring systematic cataloging and version control ofmodels, leading to improved collaboration and knowledge sharingwithin the team.○ Applied extensive AWS expertise to design and implement scalableand cloud solutions for machine learning workflows, utilizing servicessuch as Amazon SageMaker, AWS Lambda, and Amazon S3.○ Implemented Terraform IaC practices on AWS, automating thedeployment and management of machine learning environments,ensuring consistency and reproducibility across Dev/QA/Prod stagesof the development lifecycle.
- Telefonica DEData ScientistOktober 2022 - Mai 2023 (7 Monate)○ Created a linear optimization algorithm for customer-offer allocation.○ Machine learning for customer lifetime value optimization.○ Database design and implementation for a new product.○ Digital transformation project related to call center optimization○ Implemented a performance monitoring dashboard with Dash○ Set up unit and integration testing methodology with pytest○ Language used: Python.
Externe Empfehlungen
Ausbildung und Abschlüsse
- MasterUni Konstanz2016M.Sc. Data Science