Olga Yevtushenko
Senior Machine Learning Engineer at REA Group
Sydney, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolOlga Yevtushenko is a Senior Machine Learning Engineer based in Sydney with a decade of experience building end-to-end ML solutions, from model fine-tuning to production deployment on GKE. She has delivered scalable, AI-driven systems for price parsing and attribute detection using cross-encoders and LLMs, and leads knowledge-sharing as an active contributor to her company’s AI Guild. Prior roles span recommendation A/B testing, geospatial analytics and traffic forecasting, and model validation in regulated banking environments, reflecting strong experimental design and production rigor. An active open-source contributor, she improved performance and Prometheus integration in the widely used k6 load-testing ecosystem, bringing DevOps and backend expertise to ML deployments. Fluent in both data science and engineering practices, she combines product-focused experimentation with hands-on infrastructure skills and a curious, multicultural outlook.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree International Business, Bachelor's degree International Business at University of WroclawBachelor's degree Quantitative Methods in Economics and Information Systems., Bachelor's degree Quantitative Methods in Economics and Information Systems. at SGH Warsaw School of Economics
English, Polish, German, Ukrainian
Github Skills (17)
kubernetes10
performance-monitor10
loadtest10
kubernetes-operator10
performance-testing10
go10
performance-analysis10
prometheus10
kubernetes-pods10
golang10
load-testing10
dockers9
cicd9
docker9
testing8
Programming languages (13)
Github contributions (5)
grafana/k6-operator
Nov 2021 - Jan 2023
An operator for running distributed k6 tests.
Role in this project:
DevOps Engineer & Performance Engineer
DevOps Engineer & Performance EngineerContributions:22 releases, 195 reviews, 48 commits in 1 year 2 months
Contributions summary:Olga primarily contributed to the operational aspects of the k6-operator, focusing on improving performance and reliability. Their work included updating the Go version, adding retry mechanisms for error handling, and optimizing the cloud output process, ensuring successful test finalization. The user also addressed unit test coverage, fixed backoff limits, and introduced instance tagging to enhance the observability of test runs.
kubernetes-operatorsload-testingtestingoperatorperformance
grafana/k6
Oct 2021 - Feb 2022
A modern load testing tool, using Go and JavaScript - https://k6.io
Role in this project:Back-end Developer
Back-end DeveloperContributions:129 reviews, 6 commits, 9 PRs in 4 months
Contributions summary:Olga primarily contributed to the development of a Prometheus remote-write output for k6, a load testing tool. Their work included implementing the initial extension, refactoring to align with k6 and Prometheus logic, and adding features such as TLS setup, authentication, and configurable metric mapping. They also worked on optimizing the integration with the Prometheus remote write endpoint and improving the handling of k6 metric types.
golangload-testingjavascripttestinges6
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