09/24/2026 updated
100 % available
MLOps Engineer | ex-Senior SDET | CI/CD, Docker, Kubernetes, MLflow, Python
Tbilisi, Georgia
Worldwide
Postgraduate Diploma in MLOps Engineering, Yandex Academy of Educational Technologies (2026)About me
MLOps Engineer and former Senior SDET with 12+ years across test automation, CI/CD and ML infrastructure. Built Docker/Kubernetes/Airflow/MLflow pipelines with Prometheus/Grafana monitoring and reliable release controls. Open to remote B2B work and relocation.
MLflowHelmGCPLokiApache AirflowBash ShellPython (Programming Language)NumPyAWS CLITensorFlowPrometheusSQL DatabasesS3 BucketPostmanPyTorch
CI/CD & Test Automation
Expertise in building and optimizing CI/CD pipelines using GitLab CI, Jenkins, and Helm. Proficiency in test automation frameworks such as Pytest, Playwright, and Selenium, achieving significant reductions in regression time and release validation cycles.
MLOps & ML Pipeline Engineering
Hands-on experience designing end-to-end ML pipelines with MLflow, Airflow, ClearML, Prometheus, and Grafana. Deployment and orchestration of ML workloads using Docker and Kubernetes, resulting in 40% faster releases and 99.9% uptime.
Cloud & Infrastructure
Practical knowledge of cloud platforms including AWS (S3) and GCP (GCS, Vertex AI). Container orchestration with Kubernetes and Docker, including managing test infrastructure with GitLab CI and Helm to ensure 99% environment uptime.
Python & Scripting
Strong programming skills in Python for test automation, data processing, and ML pipeline development. Use of tools such as Bash, SQL, Ruff, and Mypy for code quality enforcement.
ML & Data Frameworks
Experience with PyTorch for training CNNs, TensorFlow for serving, Scikit-learn for pipelines, and data manipulation libraries including Pandas, NumPy, and Jupyter.
Monitoring & Observability
Implementation of monitoring solutions using Prometheus, Grafana, and Loki within CI/CD environments to ensure system reliability and performance visibility.
API & Performance Testing
Automated REST API testing for microservices using Postman and Python-based frameworks, reducing production incidents by 40% and integrating performance and security checks into CI/CD pipelines.
Cross-Browser & BrowserStack Testing
Orchestration of cross-browser testing using BrowserStack, aligned with Agile SDLC practices to ensure broad compatibility and quality assurance.
Expertise in building and optimizing CI/CD pipelines using GitLab CI, Jenkins, and Helm. Proficiency in test automation frameworks such as Pytest, Playwright, and Selenium, achieving significant reductions in regression time and release validation cycles.
MLOps & ML Pipeline Engineering
Hands-on experience designing end-to-end ML pipelines with MLflow, Airflow, ClearML, Prometheus, and Grafana. Deployment and orchestration of ML workloads using Docker and Kubernetes, resulting in 40% faster releases and 99.9% uptime.
Cloud & Infrastructure
Practical knowledge of cloud platforms including AWS (S3) and GCP (GCS, Vertex AI). Container orchestration with Kubernetes and Docker, including managing test infrastructure with GitLab CI and Helm to ensure 99% environment uptime.
Python & Scripting
Strong programming skills in Python for test automation, data processing, and ML pipeline development. Use of tools such as Bash, SQL, Ruff, and Mypy for code quality enforcement.
ML & Data Frameworks
Experience with PyTorch for training CNNs, TensorFlow for serving, Scikit-learn for pipelines, and data manipulation libraries including Pandas, NumPy, and Jupyter.
Monitoring & Observability
Implementation of monitoring solutions using Prometheus, Grafana, and Loki within CI/CD environments to ensure system reliability and performance visibility.
API & Performance Testing
Automated REST API testing for microservices using Postman and Python-based frameworks, reducing production incidents by 40% and integrating performance and security checks into CI/CD pipelines.
Cross-Browser & BrowserStack Testing
Orchestration of cross-browser testing using BrowserStack, aligned with Agile SDLC practices to ensure broad compatibility and quality assurance.
Experience
Professional experience10+ years
Freelancer since2014
Languages
EnglishFluentRussianNative speaker
Project history
Accelerated releases and hardened test infrastructure for enterprise IT products. Cut regression time 60% via Playwright-Pytest framework and GitLab CI/CD parallel runs. Ensured 99% environment uptime by Docker/K8s test infra managed with GitLab CI and Helm. Enforced code quality (Ruff, Mypy, Pytest) and added Prometheus/Grafana monitoring in CI.
Built automation from scratch and implemented CI/CD for a US-based digital solutions provider. Boosted regression coverage 50% with a Python/Pytest Selenium framework built from zero. Cut release validation to hours via Jenkins CI/CD integrating API, performance and security checks. Improved test reliability 25% through mentoring, code reviews, and flaky test elimination.
Established automated testing pipelines for banking microservices, eliminating manual toil. Slashed regression from 2 days to 8 hours with Selenium/Python, Selenoid and Jenkins. Reduced production incidents 40% via automated REST API tests for microservices. Orchestrated cross-browser testing on BrowserStack and aligned QA with Agile SDLC.