Summary
Daniel Peirano is a software engineer and former engineering manager with a decade of experience building infrastructure and analytical tools across robotics, cloud services, and scientific instrumentation. He holds a Ph.D. in Mechanical Engineering from UC Davis and combines deep algorithmic and statistical expertise (GC/MS, wavelet analysis, PCA/PLS workflows) with product-focused software development, having shipped hosted evaluation workflows for Google Knowledge Graph and led fleet infrastructure at Wing. Comfortable moving between low-level signal processing and large-scale systems, he excels at creating intuitive tools that amplify users’ capabilities and make complex analysis feel natural. His background includes hands-on device and embedded work (ECG prototype) and leadership in high-stakes environments from research labs to military deployments, which informs a disciplined, safety-conscious approach to engineering. Currently on a sabbatical in Mountain View, he’s open to presenting projects and exploring collaborations that bridge data science, embedded systems, and operational infrastructure.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical and Aerospace Engineering, Doctor of Philosophy (Ph.D.) Mechanical and Aerospace Engineering at University of California, Davis
Redwood High School
English, Thai