We're taking billions of photos a day - let's use them to improve our world!

Staff Research Engineer @ Working on the Brain team, focused on mobile and embedded devices. From August 2014 to Present (1 year 3 months) San Francisco Bay AreaFounder, CTO @ Raised a Series A from Khosla Ventures, built a technical team, and created a unique data product that analyzed the pixel data of over 140 million photos from Instagram and turned them into in-depth guides for more than 5,000 cities around the world. Wrote the world's only mustache detection image processing algorithm. Received peer-review feedback on my data science from Jenna Bush Hager on the Today Show. Bought by Google in 2014. From March 2011 to August 2014 (3 years 6 months) San Francisco Bay AreaAuthor @ I've been a frequent contributor to the Radar O'Reilly blog, writing on data, open-source tools, and privacy. Wrote two well-received books: "Public Data Sources" and the "Big Data Glossary". From 2010 to 2012 (2 years) Founder @ Created a popular free map visualization tool, used by tens of thousands of non-technical users every year. As part of this, I created the open-source geocoding and semantic analysis framework http://www.datasciencetoolkit.org. From 2010 to September 2011 (1 year) CTO @ Received a National Science Foundation grant to be lead investigator on feature recognition algorithms suited to real-time video use on mobile devices, and implemented a unique set of algorithms based on the geometric layout of features changing slowly. From 2009 to March 2011 (2 years) Founder @ Mailana started by making innovative user tools driven by analyzing large Exchange message stores, with the goal of locating experts and contacts. The approach of analyzing massive sets of messy unstructured information in bulk turned out to be widely useful for all sorts of problems, and I became an early evangelist of what became known as big data and data science. I wrote a lot of early articles and books, as well as speaking at conferences about the power of these new methods. I also applied them to a lot of other interesting data sets, like 400m Twitter messages, and 240m public Facebook profiles. From July 2008 to March 2011 (2 years 9 months) Senior Engineer @ Responsible for a wide range of CPU and GPU image processing applications within products like Motion, Final Cut, and Aperture. Wrote a chapter for Nvidia's GPU Gems series on effective use of GPUs for image processing, and presented sponsored talks at SIGGRAPH. Supported an image processing API used by third-parties, presented at WWDC four years running. From July 2003 to July 2008 (5 years 1 month) Founder @ I created a set of 45 image processing filters that were able to detect features in video content at 30fps on 2003-era laptops. Apple bought my technology, and hired me to work on integrating them into their image products, where they still form the basis for a lot of the present-day Final Cut video effects. From March 2003 to July 2003 (5 months) Greater Los Angeles AreaGraphics Engineer @ Worked on a wide variety of rendering problems, from fast drawing of shiny numbered pools for a CPU renderer on a PC pool game, optimized rear views for car racing on the original Playstation, to creating and debugging home-brewed DMA-driven VRAM drivers for the PS2. From 1997 to 2001 (4 years)

BSc, Computer Science @ University of Manchester - Institute of Science and Technology From 1994 to 1997 Pete Warden is skilled in: Big Data, Data Science, Hadoop, Visualization, NoSQL, MapReduce, Scalability, Machine Learning, Python, Distributed Systems, Ruby on Rails, Data Visualization, Amazon Web Services..., Ruby, HBase, MongoDB, Amazon EC2, Mobile Applications, Redis, Lucene, REST, Cloud Computing, Hive, Natural Language...