Verified recordSoftware Development

Heping Liu

Senior Principal Machine Learning Engineer at Workday

Based in San Francisco, United States

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Seniority

Director

Department

Information Technology

Location

San Francisco

Industry

Software Development

Company size

23K

Contact information

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Email

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h•••••••@workday.com

Phone

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Background

About Heping Liu

As a Senior Principal Machine Learning Engineer at Workday, I lead the development of innovative AI and infrastructure projects that enhance cost efficiency, resource utilization, and operations automation. With over 5 years of experience in machine learning engineering, I have a proven track record of proposing, initiating, and leading high-impact projects that improve system resilience and minimize downtime and ensure resilience and scalability for 60 billion weekly transactions. In Workday I have proposed multiple AI/ML initiatives such as building a conversational front end for Workday with LLMs, having an AI-Agent friendly data environment and securing RAG vector storage, and presented them in Workday Annual Product & Technology Conference. I have acted as technical leadership guiding and mentoring senior and principal engineers. I was also the founder and CEO of Unigroup AI Technologies Inc, where I built an AI-driven company from the ground up, assembling a top-tier team and securing over $7 million in funding. I have a PhD focusing on computational intelligence algorithms from Auburn University, a Stanford Natural Language Understanding Certificate of Achievement, and a Master's degree in Management Science and Engineering from the University of Chinese Academy of Sciences. My skills include AI/ML algorithms and ML infrastructure and system, Generative AI, Multi-modal AI, and Agentic AI, forecasting and optimization algorithms, full-stack software engineering, big data pipelines, and distributed system design and development. RECOGNITIONS: • “The 10 Most Innovative AI Leaders Transforming the Industry, 2024” – Cover Story of CIO Business World • “The Most Impactful Leaders in AI & Big Data – 2024” - Cover Story of The Enterprise World Magazine • Technical Excellence Award at Workday, 2023

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