MLOps | DevOps
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DevOps engineer experienced in automating, deploying, and maintaining infrastructure in a microservice and data-intensive setup with expertise in the field of deploying and managing machine learning models. Highly motivated and passion-driven. Strong team-player with great communication skills. Skilled in Kubernetes, Docker, CI/CD pipelines, and cloud-based solutions (Azure, GCP). |
Neptune.ai
Oct 2022 - Present
- Managing services in Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE) using Kubernetes, Helm and Terraform,
- Automating PVC backups with Kubernetes and Helm,
- Designing and documenting processes for AKS backup and retrieval in a multi-region cloud setup,
- Automating Azure and GCP infrastructure management with Terraform,
- Monitoring application performance with Grafana and Prometheus,
- Creating automated performance testing tools using Python and Locust,
- Deploying those testing tools to simulate various load scenarios and stress-test the system,
- Writing and managing GitLab CI/CD pipelines to automate testing, building, and deployment processes,
- Developing a custom Terraform provider, written in Go, to provision Neptune.ai projects and users,
- Managing customer pricing plans in GCP Cloud SQL and Stripe,
- Developing and maintaining the open-source Python API client,
- Providing technical support for users facing issues with the API client,
- Developing and maintaining integrations between Neptune.ai and key ML frameworks,
- Developing new integrations with frameworks like Airflow, ZenML, MosaicML, Kedro Detectron2 and MLflow to streamline experiment tracking for ML engineers,
- Writing documentation to help users set up and use these integrations effectively,
- Collaborating with open-source projects and contributors to ensure seamless integration,
- Setting up CI/CD workflows in GitHub Actions to automate the build, testing, and deployment of the Python client and integrations,
- Representing Neptune.ai at industry events and contribute to the MLOps community,
- Collaborating with marketing and product teams to create content for public speaking engagements.
Oerlikon Business Services Europe
Nov 2019 - Oct 2022
- Creating Python scripts automating workflows in various finance departments across the board,
- Presenting soultions to stakeholders,
- Gathering feedback and implementing feature requests from users across different departments,
- Testing, monitoring and visualizing script outputs.
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Warsaw School of Economics (SGH) Warsaw School of Economics (SGH) |
GitHub GitHub |
- Kubernetes
- Helm
- Terraform
- GitHub Actions
- GitLab CI/CD
- Python
- Bash
- Go
- MySQL
- Azure (AKS, Azure Disk Storage)
- GCP (Cloud SQL)
- Git
- GitHub
- GitLab
- Prometheus
- Grafana
- Airflow
- Kedro
- ZenML
- Neptune
- MLFlow
- English (C2)
- Polish (Native)