Peter Zingg is a seasoned technology leader and CTO with over three decades of cross-disciplinary experience blending software engineering, architecture, and operational infrastructure. As Chief Technology Officer at Daptics since 2016, he leads development of web tools and APIs that apply custom-tuned machine learning to accelerate scientific research, while favoring languages like Elm, Elixir, and R and automated bare-metal deployments. His background spans product engineering roles at IMSI and Matthew Bender, long-term district-wide technology coordination, and an earlier career in architecture—giving him a rare mix of systems thinking, design sensibility, and hands-on tooling expertise. Based in San Francisco, he pairs pragmatic infrastructure management with research-oriented ML product work, focusing on reliable deployments for computational science users. An unexpected asset is his formal training in molecular biophysics and architecture, which informs both his technical rigor and interdisciplinary approach to problem solving.
11 years of coding experience
17 years of employment as a software developer
BS, Molecular Biophysics and Biochemistry, BS, Molecular Biophysics and Biochemistry at Yale University
An Elixir implementation of the Google diff_match_patch library
Contributions:2 releases, 1 review, 3 PRs in 2 years 6 months
diffdiff-match-patchelixirmatchpatch
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