Currently I'm a software engineer at Google. In the past I've worked in the biomedical imaging, defense, and video security industries. Academic experience includes a PhD in Computation and Neural Systems from Caltech, and a BS in Electrical Engineering and Computer Science from UC Berkeley. Specialties: machine learning, computer vision, data analysis, signal processing, artificial intelligence Skills: C, C++, Objective C, iOS, Python, Matlab, R, Verilog

Software Engineer @ Machine learning at large scale, for improving the relevance of online ads. From January 2015 to Present (1 year) Founder @ BrightSentry builds software that transforms surveillance video into a business intelligence tool. Our video analytic algorithms automatically measure customer wait times, store cleanliness, foot traffic patterns, and other metrics of interest for brick-and-mortar businesses. From May 2012 to December 2014 (2 years 8 months) Visiting Researcher in Electrical Engineering @ Developed a system for categorizing images that makes use of crowdsourcing services and novel machine learning techniques. From April 2011 to June 2012 (1 year 3 months) Software Architect @ Designed a signal and image processing platform for an Optical Coherence Tomography (OCT) medical imaging system. From March 2011 to June 2012 (1 year 4 months) PhD @ Computation and Neural Systems program My area of focus was in the fields of machine learning and computer vision. My thesis topic centered on unsupervised machine learning algorithms. From October 2005 to January 2011 (5 years 4 months) Design Engineer @ Principal design engineer on a high-speed electronic instrumentation system used for data collection purposes on an Air Force test program. Responsible for both electronic hardware design (including high speed fiber optic communication links) as well as embedded real time software. From February 2002 to June 2005 (3 years 5 months) Engineering Intern @ High-speed signal integrity modeling for a next generation internet router. Built circuit simulation models based on laboratory measurements of printed circuit board samples. From June 2001 to August 2001 (3 months)

PhD, Computation and Neural Systems @ California Institute of Technology From 2005 to 2010 BS, Electrical Engineering and Computer Science @ University of California, Berkeley From 1997 to 2001 Ryan Gomes is skilled in: Machine Learning, Signal Processing, Computer Vision, Simulations, Computer Science, Algorithms, Artificial Intelligence, Pattern Recognition, Software Engineering, Data Analysis, Embedded Systems, LaTeX, Distributed Systems, Image Processing, Python