Sebastiaan Boer is an engineering manager in San Francisco with 11 years of experience building ML-driven products and production systems across startups and scaleups. He currently leads teams at Databricks ML to accelerate end-to-end model lifecycles, after scaling robotics perception and control software at Osaro where he tackled low-latency concurrent Python and real-time camera/model pipelines. As a former co-founder and CTO he built full-stack, data-driven marketplaces and probabilistic optimization systems, combining infrastructure, ML, and integrations at scale. Earlier roles include leading data science and event-driven data pipelines at Skout, where he shipped experiments and moderation tools for millions of users. He blends hands-on implementation of deep learning and systems engineering with hiring, roadmapping, and operational rigor, and brings an aerospace/mechanical engineering background plus an MS from Stanford that surfaces in his systems-first approach. Notably, he has deep domain experience deploying ML in real-time, safety- and latency-sensitive environments.
11 years of coding experience
9 years of employment as a software developer
Year Abroad, Year Abroad at Sierra College
Minor of BSc, Mechanical Engineering, Minor of BSc, Mechanical Engineering at Eidgenössische Technische Hochschule Zürich
TU Delft
MSc, Management Science & Engineering, MSc, Management Science & Engineering at Stanford University
Timedelta for business time. Calculate the exact working time between two datetimes (hours, seconds). Supports custom schedules, holidays, and time zones.
Contributions:50 commits, 3 PRs, 47 pushes in 3 years 8 months
Contributions:5 commits, 2 pushes in 1 year 1 month
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Sebastiaan Boer - Engineering Manager at Databricks