About — in the speaker's own words
As a clean code enthusiast, Women in Tech advocate, DevOps engineer, and mathematician, I have worked in multiple tech fields. My journey has taken me from roles as a data scientist and machine learning engineer to MLOps, culminating in my current position as the lead DevOps engineer of a computer vision platform with hundreds of active users. I possess a broad range of experience in multiple programming languages, creating fast and structured CI/CD pipelines, deploying entire platforms to Kubernetes, and working with various cloud providers. I am passionate about efficient, well-readable, and easily maintainable code and strongly believe that machine learning products should be developed with the same standards as good software.