Richard Abrich is a Principal AI Engineer and founder with 11 years of experience building production-grade ML systems that deliver measurable business impact, from a $20M/year insurance claims savings system to diagnostic and recommendation engines for healthcare and consumer apps. He combines hands-on research (M.A.Sc. Computer Engineering, PhD deferred at Université de Montréal/MILA) with product-led discovery, experiment design, and team building to take MVPs to scale. Richard has led cross-functional teams and consults for enterprise clients including Microsoft, Cleveland Clinic Innovations, and Palantir partners, architecting agentic web apps, semantic unstructured-data pipelines, and natural language interfaces. He runs an AI software agency, founded OpenAdaptAI (open-source generative process automation), and has deep experience in distributed optimization, big-data pipelines, and human-in-the-loop systems. Notably, he has repeatedly translated cutting-edge research into deployed clinical and insurance-grade products and hires and mentors engineering teams at scale.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD (deferred) Computer Science, Doctor of Philosophy - PhD (deferred) Computer Science at Université de Montréal
M.A.Sc. Computer Engineering, M.A.Sc. Computer Engineering at University of Toronto
Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Contributions:97 releases, 734 reviews, 450 PRs in 1 year 11 months
Contributions:11 reviews, 113 PRs, 244 pushes in 1 year 10 months
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