Summary
Bard Fetler is a seasoned CTO and senior machine learning engineer with 13 years of experience delivering production-grade AI and data engineering solutions, currently leading Forest Bridge AI to improve public health outcomes. He combines deep technical roots—from DSP algorithms and FPGA optimizations to modern ML pipelines—with hands-on product leadership that standardizes scalable model deployment and drives data-driven client value. His background spans pharma-focused AI for pharmacovigilance, signal processing innovations that cut hardware costs, and founding a data science consultancy, reflecting both research rigor (PhD in Physics) and entrepreneurial breadth. Known for translating complex scientific problems into practical software systems, he also brings a rarely seen mix of academic physics training and cross-domain engineering—covering Java/C, Python ML stacks, and agile project management—tailored to regulated industries like healthcare and life sciences.
13 years of coding experience
28 years of employment as a software developer
B.S., Physics, B.S., Physics at University of Rochester
Professional, Data Science and Web Programming, Professional, Data Science and Web Programming at Self Taught Data Science
Ph.D., Physics, Ph.D., Physics at Carnegie Mellon University
Certificate, Software Project Management, Certificate, Software Project Management at UC Berkeley Extension