Scientist and Quantitative Analyst turned software developer. I view software as a tool, rather than an end goal. My core strengths are making pragmatic decisions and executing on technology projects in incredibly short time frames. I have expertise in Scientific Computing with Python, building web applications, and data visualization in javascript.

Quantitative Developer @ From March 2015 to Present (10 months) Software Developer @ - Core developer for Bokeh, a library for building out interactive web visualizations on big data in python, without writing any javascript at all - Core developer or Wakari, a cloud platform for building reproducible and shareable data analysis From January 2012 to March 2015 (3 years 3 months) Quantitative Developer @ Developing a data management layer for cataloging and analyzing a vast array of Time Series for a trading desk From February 2014 to December 2014 (11 months) Quantitative Research @ Reimplemented VAR calculations using Python, Pandas, HDF5 and Pytables in order to address questions posed by regulators From July 2013 to March 2014 (9 months) Scientific Software Developer @ Scaled out counter party credit risk calculations written in Python over a compute grid of 8000 CPUs From August 2010 to March 2012 (1 year 8 months) Quantitative Analyst @ - Pioneered the use of Python technologies for use on the trading desk, and the firm overall - Researched a variety of different trading strategies, in matlab, R and python - Built the core real time risk application, which is still in use today From August 2008 to August 2010 (2 years 1 month)

PhD, Electrical Engineering @ University of Michigan From 2003 to 2008 B.S., EECS @ University of California, Berkeley From 1999 to 2003 Hugo Shi is skilled in: Python, Software Development, Machine Learning, Linux, Unix, High Performance Computing, Quantitative Finance, Numerical Analysis, Trading Systems, Matlab, Java, JavaScriptMVC, JavaScript, d3.js, Data Visualization