Tyler Suard is a Director of AI Research and Analysis based in the San Francisco Bay Area with seven years of hands-on experience building production AI systems and pipelines. He led company-wide Retrieval Augmented Generation efforts at Parker Hannifin—authoring every line of code for two generative AI products rolled out to 50,000 employees—and has shipped scalable ML infrastructure improvements at Apple that tripled data-pipeline speed. His background spans startups to tech giants (Apple, Meta/Facebook) and includes inventing IoT hardware (SmartBread) and several provisionally patented AI innovations in NLP, pose estimation, and synthetic data. Tyler is the author of Enterprise RAG: Scaling Retrieval Augmented Generation and combines deep engineering craftsmanship with a knack for turning research prototypes into enterprise-grade systems. Less obvious: he has built creative generative projects (MP3-GAN audio synthesis) and practical safety tooling (a computer-vision face-touch detector) that illustrate his blend of curiosity and applied impact.
7 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Economics and Business, Bachelor of Arts (B.A.) Economics and Business at Westmont College
Microsoft Professional Certification in Artificial Intelligence Artificial Intelligence, Microsoft Professional Certification in Artificial Intelligence Artificial Intelligence at Edx
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Tyler Suard - Director Of AI Research And Analysis at Cencora