About

David Hayden is a highly experienced Senior Staff Engineer and Tech Lead at Primer.ai, where he currently holds the position of Senior Staff Product Engineer. With a relevant experience of 7.44 years, he is an expert in AI, Software Engineering, Python, ML, Data Science, Research Science, Data Engineering, SQL, AWS, Web, NLP, Spark, Apache Airflow, CI/CD, Kubernetes, Docker, Elastic Search, Kafka, Flask, Postgres, Azure, GCP, and Backend. Prior to joining Primer.ai, David served as the Associate Director of Data Science at predictx, where he was responsible for heading the California machine learning lab and leading R&D, prototyping, and new product development. He has also worked as a Data Science Contractor at Ontos Global, where he was involved in analyzing and visualizing survey data on conceptual models in organizational culture, data processing, clustering, PCA, and factor analysis. David holds a Doctor of Philosophy (PhD) degree in Control Systems Engineering from the University of Cambridge, where he started his academic journey in 2010 and graduated in 2015. He also completed a Visiting Student Researcher program at the University of California, Berkeley, in 2013. Before that, he obtained a Master of Engineering (MEng) degree in Information Engineering from the University of Oxford in 2009. David completed his secondary education from Christ's Hospital School in 1998. At Primer.ai, David has been instrumental in leading the development of Automate and Engines products as the Uber tech lead. He has been involved in designing and implementing complex AI solutions and has played a key role in the development of the company's core technology stack. With his expertise in various technologies, David has been able to deliver high-quality products and has been a valuable asset to the company. Overall, David is a highly skilled and experienced engineer with a strong academic background and a proven track record of delivering complex AI solutions. He is a valuable asset to any organization and can contribute significantly to the development of innovative products and technologies.