Fourth year undergraduate at the University of California, Berkeley pursuing a degree in Electrical Engineering and Computer Science, with a minor in Mathematics. Specific interests in algorithms, machine learning, data mining, and distributed computing.

Incoming Financial Software Developer @ I will be joining Bloomberg in September 2016, following my graduation from UC Berkeley. From November 2015 to Present (2 months) Greater New York City AreaSoftware Engineer @ • Designed and implemented natural language processing algorithms to classify user calendar data, leading to a 65% improvement in successful classification rate on validation data set. • Algorithms used random forest supervised learning algorithm with stochastic gradient descent to perform classification based on keyword and regular expression matching. From October 2014 to Present (1 year 3 months) Software Engineering Intern @ • Implemented a handler server to fully automate processing of culprit finding requests over a distributed computing cluster, leading to a 3x speedup in running time. This required designing and implementing a custom scheduling algorithm to handle multithreading constraints imposed by the culprit finder executors and prevent data races in shared data structures. • Redesigned the file system used to store nightly pounding test results by adding tagging functionality to group results associated with equivalent queries. • Implemented an improved widget on the QPX EngProd team dashboard to only display results for refined testing metrics. • Wrote a utility to automatically generate BUILD rules for Python source code files as a 20% project. From May 2015 to August 2015 (4 months) Undergraduate Researcher @ • Developed algorithms for discovering and analyzing trends in high-volume financial markets. Methods used hidden Markov model to interpolate most the probable changes measured by analyzing locally computed discrete-time Fourier transforms of market data. From June 2014 to August 2014 (3 months) Academic Intern @ • Assisted students taking introductory computer science course in weekly labs, discussion sections, and office hours. • Worked with teaching staff to create supplemental worksheets and lab exercises. From August 2013 to May 2014 (10 months)

B.S., Electrical Engineering & Computer Science @ University of California, Berkeley From 2012 to 2016 High School Diploma, 4.26 @ Sanger High School From 2008 to 2012 Ryan Peden is skilled in: Python, Matlab, Research, Microsoft Office, Laboratory, Data Analysis, Adobe Creative Suite, CSS, HTML, Java, Social Media, Algorithms, Data Structures, LaTeX, Mac / PC Proficient