Specialties: machine learning, deep learning, computer vision, artificial intelligence, time series, forecasting

CEO @ Clarifai uses machine learning and our expertise in deep neural networks to develop the world’s best published object recognition system. Using GPUs to train large neural networks, we build practical systems for targeting ads to images, organizing user photo collections, and searching large untagged image collections. From November 2013 to Present (2 years 1 month) Greater New York City AreaSoftware Engineering Intern @ Worked with Jeff Dean on large scale machine learning production systems. From May 2013 to August 2013 (4 months) President and Founder @ Review-Mate North America · Founded company in October 2006 selling course specific review booklets to university students. · Expanded operations to include 450% more product variety within one year of opening. Recently expanded variety to include products for 27 universities and 160 courses across North America. · Manage product development, advertising for company, weekly sales recording, monthly financial analysis, authoring of contracts, website creation and other business activities. · Implemented a complete content management system to serve products directly over the internet which improves ease of delivery to the customer while allowing end-user editing of the booklets. From October 2006 to 2013 (7 years) Software Engineering Intern @ From May 2012 to August 2012 (4 months) Don/Resident Assistant @ · Responsible for monitoring 50 students on one floor of this university residence, and am trained in First Aid and CPR to respond to emergent situations within the residence. · Act as a first contact for social, emotional, or physical problems the students may encounter and also as an administrative role working under the Dean of Residence. From September 2008 to May 2009 (9 months) Student Researcher @ · Designed an error checking interface for an ultra high-speed XAUI data link to connect multiple circuit boards together and to improve the scalability of the FPGA group's designs. · Worked directly on creating a large-scale hardware-based neural network to emulate how the brain operates while improving speed over software neural network implementations by up to 500X. From May 2008 to August 2008 (4 months) Student Research Position @ · Authored eight training manuals for future students and users of the laboratory equipment including sputtering systems, thermal evaporators, and lithography machines. · Sputtered glass slides with thin films of copper and titanium in preparation for electroplating research where I measured thickness and roughness characteristics for various parameter settings. From May 2007 to August 2007 (4 months) Engineering Student @ · Created progress reports on natural gas projects along with spreadsheets detailing comparative risk analysis and projected budgets for the construction of various regulation stations and pipelines. · Plotted and helped develop construction drawings for future natural gas pipeline and regulation station projects. From May 2006 to August 2006 (4 months) Office Manager @ · Contacted potential employers/schools to create a comprehensive database for matching available job opportunities with youth and to plan large employment activities for youth under 16 years old. · Balanced weekly, monthly, and seasonal financial statements, maintained log book, managed office financial account, and acquired a lottery license for the center. From June 2005 to August 2005 (3 months)

Doctor of Philosophy Degree, Computer Science @ New York University From 2009 to 2013 Bachelor of Applied Science, Engineering Science @ University of Toronto From 2005 to 2009 Bachlors, Pre-Med @ University of Manitoba From 2004 to 2005 High School Diploma @ Edward Schreyer School From 2000 to 2004 Matthew Zeiler is skilled in: Machine Learning, Artificial Intelligence, Time Series Analysis, Computer Vision, Forecasting, Neural Networks, deep learning, Pattern Recognition, Computer Science, C++, Entrepreneurship, Research