Serhei V., Team Lead AI Engineer

AI and Machine Learning (9.5 yr.), DevOps (2.5 yr.)

C2 (Proficiency) English

Senior (5-10 years)

Lviv, Ukraine

Summary

Software Engineer with over 5 years of AI implementation experience, possessing deep expertise in machine learning and natural language processing. Proven track record in developing AI strategies, implementing automated document workflows, and training teams in AI tool adoption. Proficient in a range of technologies including AWS, Azure, Docker, Kubernetes, and various machine learning libraries (TensorFlow, PyTorch, Scikit-learn). Strong background in DevOps with experience setting up CI/CD pipelines and database administration, paired with the ability to produce precise technical documentation. Notably contributed to improved forecasting and customer service through predictive modeling. Holds a Master's degree in Project Management, reinforcing a solid foundation in both the practical and theoretical aspects of technology and project execution.

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Main Skills

AWS 5 yr.

Azure 5 yr.

Google PageSpeed Insights

TensorFlow 5 yr.

AI & Machine Learning

Amazon Machine learning services AWS ML (Amazon Machine learning services) AWS SageMaker AWS SageMaker (Amazon SageMaker) BERT GPT LLaMA Mlflow TensorFlow 5 yr. Whisper

Python Frameworks

FastAPI

JavaScript Libraries and Tools

Immutable.js

Python Libraries and Tools

TensorFlow 5 yr.

Data Analysis and Visualization Technologies

k-NN

Databases & Management Systems / ORM

Microsoft Azure SQL Server

Cloud Platforms, Services & Computing

AWS 5 yr. Azure 5 yr.

Amazon Web Services

AWS CloudWatch AWS ML (Amazon Machine learning services) AWS S3 AWS SageMaker (Amazon SageMaker)

Azure Cloud Services

Azure 5 yr. Azure Blob Storage Azure Monitor Azure VM Microsoft Azure SQL Server

Google Cloud Platform

Google Docs

Logging and Monitoring

Azure Monitor Prometheus

SDK / API and Integrations

FastAPI

Message/Queue/Task Brokers

Kafka

Other Technical Skills

Illustration and icons Palm OS Python Requests Library 5 yr. Qdrant RDS tf-serving Weaviate

ID: 700-225-032

Last Updated: 2025-06-12

Work Experience

Team Lead AI Engineer, AI Strategy and Document Workflow Automation

Duration: 03/2021 to 01/2025
Summary: Developed the company's AI strategy and implementation roadmap, identifying automation opportunities using AI tools and implementing machine learning models for document workflow automation.
Responsibilities: Managed infrastructure and ensured high availability, established monitoring solutions, conducted on-call shifts, provided database administration, administered office laptops, and wrote technical documentation to share knowledge.
Technologies: Machine learning working libraries (DeepSpeed, TensorFlow, PyTorch, LangChain, Scikit-learn, Auto-GPT), Virtualization (Kubernetes, AKS, AWS Lambda, Docker), CI/CD (GitHub Actions, GitLab CI/CD, AWS CDK, CloudFormation, Azure DevOps), Databases (AWS RDS, Azure SQL, S3, Blob Storage, Amazon OpenSearch), APIs (FastAPI, AWS SageMaker Endpoints, Azure Machine Learning Endpoints), Machine learning models (GPT-2, LLaMA, PaLM 2, BERT, Whisper), Model serving (AWS SageMaker, AWS Bedrock, Azure ML), Monitoring (Prometheus, Grafana, MLflow, AWS CloudWatch, Azure Monitor)

Machine Learning Engineer, AI Solutions Integration and Optimization

Duration: 08/2015 to 02/2021
Summary: Led AI solutions integration across multiple company departments, selecting and implementing cloud-based machine learning platforms and automating data analysis to build predictive models for improved customer service response.
Responsibilities: Managed infrastructure and ensured high availability, established monitoring solutions, conducted on-call shifts, provided database administration, administered office laptops, and wrote technical documentation to share knowledge.
Technologies: Machine learning working libraries (TensorFlow, PyTorch, Scikit-learn), Cloud platforms (AWS, Azure), Automation scripting (Python), Databases (AWS RDS, Azure SQL, Kafka), APIs (FastAPI, AWS SageMaker Endpoints), Machine learning models (BERT, Stable Diffusion)

DevOps Engineer, Infrastructure Automation and Optimization

Duration: 11/2013 to 07/2015
Summary: Worked on automating and optimizing infrastructure operations through the use of modern DevOps practices and tools to foster high availability and efficient monitoring solutions.
Responsibilities: Managed infrastructure and ensured high availability, established monitoring solutions, conducted on-call shifts, provided database administration, administered office laptops, and wrote technical documentation to share knowledge.
Technologies: Virtualization (Kubernetes, AWS Lambda, Docker), CI/CD (Helm, GitHub Actions, GitLab CI/CD, AWS CDK, CloudFormation), Databases (AWS S3, Azure Blob Storage), Monitoring (Prometheus, Grafana, AWS CloudWatch, Azure Monitor)

Education

Project Management Master’s
Ukrainian national university
Not Provided