Anders Berliner is a Staff Data Engineer in the San Francisco Bay Area with 10 years of hands-on experience building production data systems at companies including Tesla, Phantom Auto, and Voltaiq. He combines a rigorous chemical engineering background (BS Summa Cum Laude, MS from Stanford) and academic research experience with practical data science and engineering skills, enabling him to translate complex experimental and product signals into reliable, scalable pipelines. At Tesla he progressed from Senior to Staff Data Engineer, demonstrating aptitude for operationalizing analytics at fleet scale and driving cross-functional impact. Known for moving fast without sacrificing quality, Anders bridges research-grade rigor and production engineering discipline — an asset when wrangling messy high-throughput telemetry and experimental datasets.
10 years of coding experience
18 years of employment as a software developer
Bachelor of Science (BS), Chemical Engineering, Summa Cum Laude, Bachelor of Science (BS), Chemical Engineering, Summa Cum Laude at Case Western Reserve University
MS, Chemical Engineering, MS, Chemical Engineering at Stanford University
Computer vision and voice recognition are common place and ubiquitous, but for many problems, it’s best to “follow your nose”. I explored electronic nose sensor data on growing cultures of sepsis causing bacteria. My models answer the questions of: am I sick, what is making me sick, and how soon will you know how to make me better.
Contributions:99 commits, 2 PRs, 95 pushes in 4 years 2 months
Contributions:13 commits, 9 PRs, 18 pushes in 6 days
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