Christian Peters

Strategic Portfolio Manager AI Methods

San Francisco Bay Area United States
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Summary

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Senior
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Christian Peters is a strategic technology leader with over a decade of experience building and commercializing sensor, MEMS, and embedded AI systems across international, multidisciplinary teams. At Bosch he drives portfolio strategy for AI methods and smart sensors, blending deep technical expertise in ultra-low-power IoT, system design, and embedded machine learning with a servant-leadership approach that empowers ownership and clear customer focus. He has led R&D from hands-on MEMS engineering to director-level portfolio roles, successfully translating research into market-ready products such as smart glasses and quantum sensors. A lifelong learner who practices a "5-hour rule," he augmentes his technical foundation with a MicroMasters in Data Science and continuous upskilling in embedded AI. Outside work he applies the same build-first mentality to restoring classic cars, having learned to rebuild V8 engines himself—a practical sign of his preference for engineered solutions over off-the-shelf fixes. Based in the Bay Area, he combines scientific rigor with product-minded innovation to compete in both existing and emerging technology markets.
code10 years of coding experience
job16 years of employment as a software developer
bookDiploma Microsystem Technology (MEMS), Diploma Microsystem Technology (MEMS) at The University of Freiburg
bookMicroMasters Data Science, MicroMasters Data Science at University of San Diego
languagesEnglish, German
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Github Skills (18)

prediction10
econometrics9
hypothesis-testing9
statistics9
espn9
statsmodels9
regression-models9
forecasting9
modeling9
data-analysis8
python8
generalized-linear-models8
data-science8
faker7
python-requests7

Programming languages (2)

JavaPython

Github contributions (5)

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Contributions:128 commits, 116 pushes, 3 branches in 2 months
Contributions:244 commits, 156 pushes, 3 branches in 7 months
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Christian Peters - Strategic Portfolio Manager AI Methods