Labelbox Engineering

Deep learning is a strategy for teaching computers to recognize designs, regularly quicker and more precisely than people. Computer algorithms are trained on hundreds, even millions of pieces of labeled information. Pictures of planes, for instance, are labeled and taken care of into the deep learning model until the computer can rapidly identify planes in pictures it has never seen. To improve productivity, accuracy, and speed of this work, data science teams need a platform and tooling that permits them to work with one other and with labelers around the globe.

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As a product and engineering-driven organization established by specialists in AI, Labelbox directed a national search for an accomplished engineering pioneer with a reputation of success in assembling teams that build hugely significant products in developing categories that could scale internationally.

Ed Chan was selected from Box Inc., a data storage organization where he most recently served as Director of Engineering, Cloud Storage and Encryption, and built and scaled the organization's core content storage infrastructure. Beforehand he was Head of Voice Connectivity Engineering at Twilio, the communications API organization. Before that Chan held senior software engineering and the management jobs at Microsoft, Adobe, Macromedia, and Epson. He holds a BS in Computer Engineering from The University of Waterloo.

Dan Buczaczer comes to Labelbox from Quid Inc., a text-based-information analysis organization, where he drove all aspects of marketing and brand building as Chief Marketing Officer. Already he was EVP, Creative Partnerships at Publicis Groupe where he made Zodiac – a remarkable big data tool and procedure that visually maps cultural content to inspire system and flash creativity. Preceding that, he was co-founder and Managing Director of Denuo, a Publicis Groupe organization. He holds a BA in Communications from UCLA.

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