Serhei Vakynenko Team Lead AI Engineer
AI and Machine Learning (9.5 yr.), DevOps (2.5 yr.)
Summary
Software engineer with over 8 years of experience, including 5+ years specialized in AI. Proven track record in leading AI strategy, implementing machine learning models, and training teams on AI tool usage. Expertise in Python and various ML libraries (e.g., TensorFlow, PyTorch), as well as in CI/CD, virtualization, and API development. Adept in managing cloud infrastructures (AWS, Azure) and ensuring system performance and efficiency. Holds a Master’s in Project Management, indicating a strong foundation in leading complex technical initiatives.
Work Experience
Team Lead AI Engineer, AI Strategy and Document Workflow Automation
Duration: 03/2021 to 01/2025Summary: Developed AI strategy and automation processes for document workflow, trained employees on AI solutions and maintained AI system performance.
Responsibilities: Managing AI strategy and implementation, auditing processes, training employees, monitoring AI system performance, managing budget for AI tools and development resources.
Technologies: Not specified in the resume
Machine Learning Engineer, Company-Wide AI Solutions Integration
Duration: 08/2015 to 02/2021Summary: Integrated AI solutions across departments, implemented cloud-based machine learning platforms for data analysis and predictive modeling to improve customer service.
Responsibilities: Leading AI solutions integration, selecting and implementing cloud-based platforms, automating data analysis, building predictive models, researching new AI tools, collaborating with IT, developing AI project ROI reports.
Technologies: Python, AWS, Azure, Machine learning libraries (DeepSpeed, TensorFlow, PyTorch, Scikit-learn, OpenCV), Databases (AWS RDS, Azure SQL, AWS S3, Azure Blob Storage), API (FastAPI, AWS SageMaker Endpoints, Azure Machine Learning Endpoints), Machine learning models (GPT-2, LLaMA, LLaMA-2, PaLM 2, Stable Diffusion, BERT, Whisper), Model serving (AWS SageMaker, TensorFlow, KubeFlow), Monitoring (Prometheus, Grafana, MLFlow, AWS CloudWatch, Azure Monitor)
DevOps Engineer, AI Infrastructure and Operations Management
Duration: 11/2013 to 07/2015Summary: Engaged in DevOps activities for an AI-focused company, ensuring system availability, monitoring solutions, database and laptops administration, and technical documentation.
Responsibilities: Handling infrastructure, monitoring solutions, on-call shifts, database administration, office laptops administration, writing technical documentation.
Technologies: Virtualization (Kubernetes, Docker), CI/CD (Helm, GitHub Actions, GitLab CI/CD, AWS CDK, CloudFormation, Azure DevOps, Azure Resource Manager), Database Management, Monitoring (Prometheus, Grafana)
Education
- Project Management Master’s
Ukrainian national university
Not Provided