Richard Abrich

Principal AI Engineer at OpenAdapt.AI

Old Toronto, Ontario, Canada
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Summary

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Rockstar
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Top School
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.
code11 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy - PhD (deferred) Computer Science, Doctor of Philosophy - PhD (deferred) Computer Science at Université de Montréal
bookM.A.Sc. Computer Engineering, M.A.Sc. Computer Engineering at University of Toronto
languagesEnglish, French
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Github Skills (200)

language-model10
uploader10
uppy10
encoding10
ui-automation10
openapi10
object-tracking10
gui-automation10
modular10
rpa10
voice10
object-detection10
computer-vision10
sqlmodel10
semantic-segmentation10

Programming languages (13)

PowerShellC++RustTeXVueGoHTMLJupyter Notebook

Github contributions (5)

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OpenAdaptAI/openadapt-web

May 2023 - Jul 2026

Contributions:11 reviews, 139 PRs, 381 pushes in 3 years 3 months
MLDSAI/VisionTracing

Aug 2020 - Dec 2023

PyTorch library for seamless keypoint detection, tracking, and subject re-identification
Contributions:19 reviews, 17 pushes, 34 comments in 3 years 4 months
pytorchkeypoint-detectionsubjectdeep-learningtracking-detection
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