Ryan Richard is a Staff Engineer based in San Francisco with deep Silicon Valley roots and a multi-decade perspective on software development, backed by BS and MS degrees in Computer Science from Syracuse University. He brings a blend of hands-on engineering and people leadership from roles at VMware and Pivotal, where he moved between individual contributor and management responsibilities to ship cloud and infrastructure-focused systems. His career spans startup product engineering at Tintri to technical roles at Intel and academia, reflecting comfort with both cutting-edge hardware-aware software and scalable cloud platforms. Known for steady, long-term technical stewardship, he focuses on pragmatic architecture and mentoring engineers to deliver reliable, production-grade systems. Quietly, his profile suggests a preference for deep technical ownership rather than public open-source visibility, offering teams experienced judgment and institutional memory.
10 years of coding experience
4 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Syracuse University
The project is a python module that facilitates BERT pretraining. The current existing open source solution for training this specific model is convoluted. We have simplified the procedure. The project's goal is to open the code to the wider Machine Learning community to help ML practitioners train their own BERT models using their data. The code was created to train the latest iteration of VMware's BERT model (vBERT) to help Machine Learning and Natural Language Processing Researchers within VMware.
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