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SigOpt updates
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‎ScottClarkCV.pdf

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‎ScottClarkCV.tex

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\resheading{Industry Experience}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{itemize}
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\item
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\ressubheading{SigOpt Inc - https://sigopt.com}{San Francisco, CA}{Co-founder and CEO}{November 2014 - current}
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\begin{itemize}
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\resitem{Helping lead a world class team to eliminate expensive trial and error from every experts workflow. Using cutting edge optimization behind a simple API to help tune machine learning models and build better products in a variety of fields.}
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\end{itemize}
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\ressubheading{Yelp Inc}{San Francisco, CA}{Data Mining Engineer and Lead on Ad Targeting Team}{July 2012 - current}
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\begin{center}\begin{tabular*}{6.6in}{l@{\extracolsep{\fill}}r}
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\multicolumn{2}{c}{Forbes 30 Under 30, Enterprise Tech \cftdotfill{\cftdotsep}2016}\\
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\multicolumn{2}{c}{Department of Energy Computational Science Graduate Fellowship (CSGF) (\$300 000) \cftdotfill{\cftdotsep}2008-2012}\\
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\multicolumn{2}{c}{NERSC Production Allocation (PI) (100 000 Cray XT4 hours) \cftdotfill{\cftdotsep} 2012}\\
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\multicolumn{2}{c}{NERSC Startup Allocation Renewal (PI) (15 000 Cray XT4 hours) \cftdotfill{\cftdotsep} 2012}\\
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\begin{itemize}
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\item {\bf Development:} Python (preferred), C/C++, CUDA, JavaScript, \LaTeX
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\item {\bf Numerical Analysis and Computer Science:} Machine Learning, Data Mining, Optimization, Computational Science, Artificial Intelligence, Linear Algebra, Monte Carlo Methods, ODEs, PDEs, Iterative Methods, Parallel Programming, Distributed Systems, Data Structures
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\item {\bf Public Speaking:} I've given several hundred technical talks to audiences at machine learning conferences, Fortune 500 boards, and beyond.
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\item {\bf Development:} Python (preferred), C/C++, CUDA, JavaScript, \LaTeX
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\item {\bf Technology:} MapReduce, numerical libraries, web frameworks, databases, linux, git, vim, tmux
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\item Discovering and implementing new ideas. Give me an API and a problem and I will figure it out.

‎ScottClarkResume.pdf

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‎ScottClarkResume.tex

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\begin{tabular*}{7in}{l@{\extracolsep{\fill}}r}
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\textbf{\Large Scott Clark} & \textbf{\today} \\
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\textbf{{\Large Scott Clark}} & \textbf{\today} \\
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\texttt{[email protected]} & \texttt{www.scottclark.io} \\
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\texttt{@DrScottClark} & \texttt{github.com/sc932 \& github.com/Yelp/MOE}
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\texttt{@DrScottClark} & Not looking for new job opportunities
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\resheading{Skills}
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\begin{itemize}
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\item {\bf Development:} Python (preferred), C/C++, CUDA, JavaScript, \LaTeX
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\item {\bf Numerical Analysis and Computer Science:} Machine Learning, Data Mining, Optimization, Computational Science, Artificial Intelligence, Linear Algebra, Monte Carlo Methods, ODEs, PDEs, Iterative Methods, Parallel Programming, Distributed Systems, Data Structures
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\item {\bf Technology:} MapReduce, numerical libraries, web frameworks, databases, linux, git, vim, tmux
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\item Exploring and implementing ideas. Give me an API/dataset and a problem and I will figure it out.
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\item Diverse background in Software Engineering, Math, Computer Science, Physics and Biology allows me to communicate within a wide technical scope and start contributing to any group immediately.
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\resheading{Research and Work Experience}
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\ressubheading{Yelp Inc}{San Francisco, CA}{Data Mining Engineer and Lead on Ad Targeting Team}{July 2012 - current}
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\ressubheading{SigOpt Inc - https://sigopt.com}{San Francisco, CA}{Co-founder and CEO}{November 2014 - current}
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\begin{itemize}
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\resitem{Helping lead a world class team to eliminate expensive trial and error from every experts workflow. Using cutting edge optimization behind a simple API to help tune machine learning models and build better products in a variety of fields.}
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\ressubheading{Yelp Inc}{San Francisco, CA}{Data Mining Engineer and Lead on Ad Targeting Team}{July 2012 - December 2014}
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\begin{itemize}
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\resitem{{\bf Optimization:} Co-developed and led team for MOE: the Metric Optimization Engine (\texttt{github.com/Yelp/MOE}, an \textbf{open source} optimization framework), found significant gains in different metrics across the organization using Bayesian Global Optimization algorithms.}
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\resitem{{\bf Targeting:} Implemented multi-armed bandit strategies for ad selection, sole targeting engineer on mobile app ads rollout, developed new location-based targeting algorithms, advised and helped develop other machine learning and math based targeting projects.}
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\resitem{{\bf Leadership:} Led cross-organization teams as director of the Yelp Dataset Challenge, MOE team lead, intern and new-hire mentor, founder and organizer of Applied Learning Group (bi-weekly, all-engineering technical speaker series) and more. Successfully managed projects from inception to on-time completion; balancing tradeoffs and coordinating teamwork.}
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\resitem{{\bf Recruiting:} Created, implemented, and directed \texttt{yelp.com/dataset\_challenge}, gave many dozens of tech talks across the country, led events, gave hundreds of technical interviews, and closed candidates.}
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\resitem{{\bf Recruiting:} Created, implemented, and directed \texttt{yelp.com/dataset\_challenge}, gave tech talks across the country, led events, gave hundreds of technical interviews, closed candidates.}
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\ressubheading{Bloomberg LP}{New York, NY}{Financial Software Development Intern}{Summer 2011}
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\begin{itemize}
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\resitem{Developed end-to-end reporting software in \texttt{C++} and \texttt{javascript}}
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\resitem{Implemented statistical models to perform forward and backward portfolio analysis}
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\ressubheading{DOE Joint Genome Institute (Lawrence Berkeley National Lab)}{Walnut Creek, CA}{Researcher in Analysis Group under Dr. Zhong Wang}{Summer 2010}
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\begin{itemize}
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\resitem{Created \textbf{open source} genome validation software tool in \texttt{python} and \texttt{C} (alescore.org)}
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\resitem{Used machine learning to mine TBs of genome data efficiently using novel likelihood function}
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\ressubheading{Los Alamos National Laboratory}{Los Alamos, NM}{Researcher in Metagenomics Group under Dr. Nick Hengartner}{Summer 2009}
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\resitem{Wrote \textbf{open source} alignment algorithm software tool in \texttt{python}, \texttt{C} and \texttt{CUDA}}
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\resitem{Used statistical models to discover sequence alignments using parallel algorithms on GPUs}
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\resheading{Writing and Awards}
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\begin{itemize}
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\item {\bf 2016 Forbes 30 Under 30:} Enterprise Tech. \texttt{http://onforb.es/1OILpBZ}
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\item {\bf Department of Energy Computational Science Graduate Fellow:} Four year full fellowship. $\sim$20 awarded nationally per year. Won the Communicating Science award (\texttt{bit.ly/VbcTZK}).
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\item {\bf SigOpt Blog:} Posts talking about using SigOpt to optimize everything (\texttt{blog.sigopt.com}).
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\item {\bf Yelp Blog:} Wrote several posts announcing the open sourcing of MOE, the Yelp Dataset Challenge and more. \texttt{bit.ly/1x73xdr}, \texttt{bit.ly/1oCCZvv}, \texttt{bit.ly/1sOsEBS}, \texttt{bit.ly/1plX7Hk}
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\item {\bf Press:} WSJ: \texttt{on.wsj.com/VaOvqQ}, Cornell: \texttt{bit.ly/1oB2dzm}, DIEXIS: \texttt{bit.ly/1oofbl4}
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\end{itemize}
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\resheading{Skills}
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\begin{itemize}
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\item {\bf Numerical Analysis and Computer Science:} Machine Learning, Data Mining, Optimization, Computational Science, Artificial Intelligence, Linear Algebra, Monte Carlo Methods, ODEs, PDEs, Iterative Methods, Parallel Programming, Distributed Systems, Data Structures
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\item {\bf Tech Stack:} Python, numerical libraries, linux, git, vim
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\item {\bf Public Speaking:} I've given several hundred technical talks to audiences at machine learning conferences, Fortune 500 boards, and beyond.
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\item Exploring and implementing ideas. Give me an API/dataset and a problem and I will figure it out.
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\end{itemize}
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\resheading{Selected Open Source Projects}
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\ressubheading{MOE: Metric Optimization Engine (\texttt{github.com/Yelp/MOE})}{Python, C++, CUDA}{A global, black box optimization engine for real world metric optimization}{2010 - Current}
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\ressubheading{SigOpt Examples (\texttt{github.com/sigopt/sigopt-examples})}{Python}{Examples of using SigOpt to tune ML algorithms.}{2014 - current}
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\begin{itemize}
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\resitem{Implemented throughout Yelp, optimizing ad metrics. 2nd most popular open source project.}
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\resitem{Talk: \texttt{bit.ly/1plYZA2}, Slides: \texttt{slidesha.re/1zOrOJy}, Blog: \texttt{bit.ly/1x73xdr}}
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\resitem{Presented to executives, universities, conferences and companies around the country.}
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\resitem{Examples of using SigOpt to tune everything from sklearn to beating Vegas and beyond.}
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\ressubheading{My Resume/CV (\texttt{github.com/sc932/resume})}{\LaTeX}{This resume and my CV.}{2010 - current}
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\ressubheading{MOE: Metric Optimization Engine (\texttt{github.com/Yelp/MOE})}{Python, C++, CUDA}{A global, black box optimization engine for real world metric optimization}{2010 - 2015}
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\begin{itemize}
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\resitem{280+ GitHub stars, previous \#1 article on Hacker News, 60+ forks.}
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\resitem{Implemented throughout Yelp, optimizing ad metrics. 2nd most popular open source project.}
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\resitem{Talk: \texttt{bit.ly/1plYZA2}, Slides: \texttt{slidesha.re/1zOrOJy}, Blog: \texttt{bit.ly/1x73xdr}}
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\resitem{Presented to executives, universities, conferences and companies around the country.}
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\resheading{Writing and Awards}
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\begin{itemize}
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\item {\bf Department of Energy Computational Science Graduate Fellow:} Four year full fellowship. $\sim$20 awarded nationally per year. Won the Communicating Science award (\texttt{bit.ly/VbcTZK}).
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\item {\bf Yelp Blog:} Wrote several posts announcing the open sourcing of MOE, the Yelp Dataset Challenge and more. \texttt{bit.ly/1x73xdr}, \texttt{bit.ly/1oCCZvv}, \texttt{bit.ly/1sOsEBS}, \texttt{bit.ly/1plX7Hk}
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\item {\bf Press:} WSJ: \texttt{on.wsj.com/VaOvqQ}, Cornell: \texttt{bit.ly/1oB2dzm}, DIEXIS: \texttt{bit.ly/1oofbl4}
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\end{itemize}
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\end{document}

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