Vladimir Kolovski
Senior Staff Software Engineer at Databricks
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolVladimir Kolovski is a Senior Staff Software Engineer and technology leader with a PhD in AI who builds high-throughput, production ML and data infrastructure for ads, fraud prevention, and identity systems. He has driven million+ QPS federated auth platforms and end-to-end ML pipelines at Google, and now leads ML infrastructure work at Databricks focusing on feature discovery, monitoring, automation, and model serving. His background spans database and data warehousing engine development at Oracle and Novartis, giving him deep systems and data modeling expertise beyond typical ML infrastructure roles. Known for turning research-grade ideas into scalable production systems, he blends academic rigor in knowledge representation with hands-on experience operating at internet scale. Based in the Bay Area, he consistently mentors cross-functional teams to bridge tooling, data management, and operational reliability in complex ML environments.
4 years of coding experience
20 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of MarylandB.Arts, Computer Science, B.Arts, Computer Science at American University in Bulgaria
Macedonian, Bulgarian, Serbian, English
Github Skills (19)
apache-spark10
python10
lifecycle10
incremental-learning10
machine-learning10
databricks10
mlflow10
model-management10
dvc10
terraform10
terraform-provider10
ml10
gcp10
aws10
ai10
Programming languages (3)
Github contributions (5)
databricks/mlops-stacks
Sep 2022 - Nov 2022
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
Contributions:112 reviews, 39 commits, 9 PRs in 1 month
databricksmachine-learningmlops
vladimirk-db/dust-test-public
Jun 2022 - Jun 2022
Contributions:2 PRs, 3 pushes, 2 branches in 1 day
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