About

Charlie You is a highly skilled Machine Learning Engineer who is passionate about bringing AI out of the lab and into products that people love. He is currently working at Workday, where he is responsible for putting deep learning into production for document information extraction. Charlie is also the host of the ML Engineered podcast, where he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. Charlie's expertise in machine learning and AI is evident from his work experience and education. He has worked as a Machine Learning Engineering Intern at Workday, where he researched and developed deep learning models for automated document parsing and information extraction. He reduced the error rate of the text reading model from 19.2% to 2.02% by implementing a state-of-the-art attentional CRNN. He also increased the accuracy of the invoice information extraction model over 20% with 50x less parameters by designing and training a DeepLabV3-based model that reformulated the problem as one of semantic segmentation. Charlie has a Bachelor's Degree in Computer Science from Rensselaer Polytechnic Institute and completed his high school education at Kent School. Charlie's technical skills include ML, AI, Deep Learning, Data Scientist, and Research Scientist. He has 3.36 years of relevant experience in the field of machine learning and AI. Charlie is a highly motivated individual who is always looking for ways to improve his skills and learn new things. He is an excellent communicator and enjoys sharing his knowledge with others. Charlie's passion for machine learning and AI is evident in his work and his commitment to bringing cutting-edge research out of the lab and into products that people love.