Alexey Alexandrov
Principal Engineer at Google
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAlexey Alexandrov is a Principal Engineer with over a decade of hands-on and leadership experience building developer tooling and fleet-wide performance optimization systems at Google and Intel. He founded and launched industry-influential cloud products including Google Cloud Shell, SSH-from-the-Browser, and Cloud Profiler, and currently oversees Google-wide CPU, RAM and latency profiling tooling while maintaining the pprof open-source profiler. Known for deep expertise in performance analysis and optimization, he led Intel VTune development and now shapes profiling standards through OpenTelemetry. Beyond product launches, he built teams that delivered measurable capex and resource-footprint reductions and authored a widely read internal performance series (abseil.io/fast). Based in the Bay Area, he combines low-level systems mastery with product instincts and a PhD in computer science, often contributing practical profiling features directly to projects like google-cloud-go and pprof.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Saratov State Technical University
English, Russian, Spanish
Github Skills (29)
debugging10
debug10
performance-monitor10
performance-analytics10
sample-size10
performance-measurement10
gcp10
sample-rate10
go10
performance-analysis10
google-cloud10
sample-data10
profiling10
golang10
performance-tuning10
Programming languages (14)
Github contributions (5)
google/pprof
Sep 2016 - Jan 2023
pprof is a tool for visualization and analysis of profiling data
Role in this project:
Back-end & Performance Engineer
Back-end & Performance EngineerContributions:328 reviews, 107 commits, 445 PRs in 6 years 4 months
Contributions summary:Alexey primarily contributed to the optimization and enhancement of the `pprof` tool, focusing on performance analysis and debugging. Their work included addressing issues related to PowerPC64 kernel mapping and improving the handling of reflected calls in heap profiles. They also added features such as the "trim path" option and improved the output for the traces command. The user demonstrated a deep understanding of the codebase and debugging of complex performance issues.
data-profilingprofilingperformance-analysisperformancepprof
GoogleCloudPlatform/golang-samples
Feb 2018 - Sep 2019
Sample apps and code written for Google Cloud in the Go programming language.
Role in this project:Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:7 commits, 7 PRs, 41 comments in 1 year 7 months
Contributions summary:Alexey primarily contributed to the development and maintenance of Go samples related to Google Cloud profiling tools. Their work involved creating new samples for CPU, thread, mutex, and library function profiling, demonstrating an understanding of performance analysis. They added features such as versioning, service name configurations, and flags for local work, indicating a focus on providing flexibility and usability within the sample applications. The contributions also included removing a sample and merging with another demonstrating refactoring and code maintenance skills.
golangappenginesample-appsgoogle-cloudgoogle-appengine
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