Presentation: Panel: ML for Developers/SWEs

Hien Luu is an engineering manager at LinkedIn and he is an AI & big data enthusiast. He is particularly passionate about the intersection between Big Data and Artificial Intelligence. Teaching is one his passions and he is currently teaching Apache Spark course at UCSC Silicon Valley Extension school. He was the author of the "Beginning Apache 2" book, which was published in 2018. He has given presentations at various conferences like QCon (SF, London, Shanghai), Hadoop Summit, JavaOne, and Seattle Data Day.

Jeff Smith is an engineering manager at Facebook AI where he supports the PyTorch team. He’s the author of Machine Learning Systems and Exploring Deep Learning for Language. While working at the intersection of functional programming, distributed systems, and machine learning, he coined the term reactive machine learning to describe an ideal machine learning architecture and associated set of techniques. Prior to joining Facebook, he built teams and technology for AI products like x.ai and Amelia.

Brad is passionate about educating the world about artificial intelligence both by empowering developers and improving societal understanding. He is currently a Developer Programs Engineer at Google where he specializes in machine learning and big data solutions. Outside of work, Brad can be found singing, climbing, playing board games and locating the best restaurants in NYC.

Ashi is a visual poet who has been telling stories with code and words since she was a child—perhaps before. She has worked at seven-person startups, fought fires in the trenches of SRE at Google, and spent the last three years teaching at coding bootcamps. She now works as a senior software engineer at GitHub, where she hopes to dissolve the walls between us and our tools. She is learning to regard every moment, and the creatures within them, with love.