Rafal Gajdulewicz
Production Engineering Lead at CoreWeave
Warsaw, Masovian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolRafal Gajdulewicz is a Production Engineering Lead with 12 years’ experience building and operating cloud-native, full-stack systems across companies like Google, Sourcegraph, Snowflake and CoreWeave. He combines a strong engineering foundation (Java, Go, Scala, TypeScript, Python) with deep production/DevOps expertise (GKE, Kubernetes, Docker, GCP/AWS), and has repeatedly driven cost, reliability and performance improvements—most notably cutting GCP spend at Sourcegraph by over $1M/year and leading the Cloud-first Sourcegraph deployment. He designed the API powering Cody (Sourcegraph’s AI assistant) including auth, rate-limiting and embedding generation that delivered 10x cost/perf gains, showing his knack for marrying ML service design with pragmatic platform engineering. Trained in econometrics and computer science, Rafal brings analytical rigor to system design and a preference for learning tooling that permanently simplifies operations. Based in Warsaw, he favors end-to-end ownership from databases and backends to front-end and mobile integrations, and often moves between hands-on coding and cross-functional technical leadership.
12 years of coding experience
16 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at Warsaw University of TechnologyEconomy - Econometrics & Computer Science, Economy - Econometrics & Computer Science at University of Warsaw
English, German
Github Skills (6)
go10
devops10
back-end-development10
api9
http9
cicd8
Programming languages (8)
Github contributions (5)
sourcegraph/sourcegraph-public-snapshot
Oct 2021 - Nov 2022
Code AI platform with Code Search & Cody
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:409 reviews, 115 commits, 293 PRs in 1 year 1 month
Contributions summary:Rafal primarily focused on enhancing the back-end functionality of the code AI platform. Their contributions included sorting run commands and modifying code to increase frontend timeouts. They also addressed security concerns by preventing the retry of unauthorized/forbidden HTTP errors. Additionally, the user demonstrated DevOps skills by modifying the repository to return appropriate HTTP codes instead of internal server errors.
sourcegraphcode-generationrepo-type-maindeveloper-toolslsif-enabled
rafax/spoto
Mar 2015 - Jun 2022
Contributions:11 PRs, 34 pushes, 18 branches in 7 years 4 months
surfspotsphotos
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