I'm a software engineer with experience at small and large companies. As an individual contributor, I've built and scaled online machine learning for the web, and I have extensive experience creating Android applications. I'm passionate about working on real problems with smart people. Today, I lead engineering at Dropbox's New York office. We started with and grew to a dozen in just the first year. It's been an incredible journey thus far, but it's only just the beginning. I'm not at all interested in new opportunities. I'm thrilled to be working with a great team on amazing projects, and I'm not planning on leaving any time soon.

Engineering Site Lead @ Head of engineering at Dropbox NYC. One of two engineers to found the office in March of 2014. Building a team of incredible software developers looking for the chance to make an impact culturally and technically. We're small and have lots of opportunities for ownership in a growing, successful company. Come join us! From January 2014 to Present (1 year 10 months) New York CityCofounder @ Built Hoot, a video messaging application for Android. Designed, developed, and deployed the backend, including a media server to standardize videos for compatibility across devices. Co-developed the Android app, particularly backend integration and video recording. Launched in the Google Play Store; featured in the first week and currently growing with 35,000+ downloads. Built Scout Feedback, an SMS-based retail feedback system for store owners and managers. From February 2013 to January 2014 (1 year) New York CityMember of Technical Staff @ Technical lead for team building Hunch's recommendation algorithms on eBay's infrastructure. Architected and built systems to index eBay's catalog and serve recommendations in realtime. Led the transition of the first existing algorithm to its Hunch-built equivalent. Coordinated integrations with teams across eBay as the de facto product manager. From November 2011 to February 2013 (1 year 4 months) New York CitySoftware Engineer @ Developed social algorithms for Hunch.com. Worked with a designer to create full-stack clients of the Hunch API. Led source control switch from subversion to git in both development and deployment. From May 2011 to November 2011 (7 months) New York CitySenior Software Engineer @ Designed and developed an optimizing adserver for Meebo's direct response ad inventory, using online machine learning to achieve significant revenue lift. Built recurring stats processing systems to guide business decisions. Created sellable ad products to improve user profiles for ad targeting. From September 2009 to April 2011 (1 year 8 months) New York CityIntern in Software Development @ Implemented and scaled an application to index and search over one billion Meebo user chat conversations. Provided interfaces for user queries to search one's own chatlogs and for aggregated business queries to track brand occurrences and targeting statistics in conversations across all Meebo users. From June 2008 to September 2009 (1 year 4 months) New York CitySection Leader / Teaching Assistant @ Taught sections for introductory classes in computer science. Graded assignments and provided interactive feedback. Held office hours each week. As a TA, managed section leaders and organized course logistics. From January 2007 to March 2009 (2 years 3 months) Stanford, CAIntern in Software Development @ Developed new product with team of four other interns. Designed specifications and completed an alpha version of the product. Worked with a tester to resolve bugs and design ambiguities. From June 2007 to September 2007 (4 months) New York CityDrum Major @ Conducted the 100-musician Band at rallies and sporting events including Stanford football. Selected repertoire, arranged charts, and led rehearsals. Designed and created costumes for performances. From November 2005 to November 2006 (1 year 1 month) Stanford, CASoftware Development Engineer @ Collaborated with designers and usability engineers to create prototypes used for testing in Microsoft TVs User Experience group. Discussed and implemented key changes to the user experience for various versions of Microsoft TV products. From June 2006 to September 2006 (4 months) Mountain View, CA

MS @ Stanford University From 2008 to 2009 BS @ Stanford University From 2004 to 2008 Lick-Wilmerding High School From 2000 to 2004 Matt Spitz is skilled in: Machine Learning, Python, User Experience, Hadoop, Data Mining, Distributed Systems, Software Engineering, Algorithms, Analytics, Linux, System Architecture, Java, Artificial Intelligence, Databases, Compilers, Android Development, Product Engineering, Infrastructure