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Aleksander Wojnarowicz

MLOps | DevOps


Personal Info

Summary

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).


Experience

MLOps Engineer

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.

Business Process Automation Consultant

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.

Education

Master Degree in Data Science

Warsaw School of Economics (SGH)
2020 - 2022

Bachelor Degree in Global Business, Finance and Governance

Warsaw School of Economics (SGH)
2017 - 2020

Open Source Projects

ABCD Graph Generator

GitHub
A Python library for generating Artificial Benchmark for Community Detection graphs.

Neptune Terraform provider

GitHub
A custom provider to provision Neptune projects and users in an infractructure-as-code manner.


Skills

DevOps & Infrastructure

  • Kubernetes
  • Helm
  • Terraform
  • GitHub Actions
  • GitLab CI/CD

Programming

  • Python
  • Bash
  • Go
  • MySQL

Cloud Services

  • Azure (AKS, Azure Disk Storage)
  • GCP (Cloud SQL)

Version Control

  • Git
  • GitHub
  • GitLab

Monitoring

  • Prometheus
  • Grafana

Automation & Orchestration

  • Airflow
  • Kedro
  • ZenML

Experiment Tracking

  • Neptune
  • MLFlow

Languages

  • English (C2)
  • Polish (Native)

About

My personal resume written in markdown

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