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FRobinson-CV.tex
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\documentclass[12pt,letterpaper,unicode]{moderncv}
\moderncvtheme{classic}
\usepackage[utf8]{inputenc}
\usepackage[scale=.8]{geometry} % smaller number -> text takes more space
\AtBeginDocument{\recomputelengths}
% Hyperlinks
\usepackage[unicode]{hyperref} % to use hyperlinks
\definecolor{linkcolour}{rgb}{0,0.2,0.6} % hyperlinks setup
\hypersetup{colorlinks,breaklinks,urlcolor=linkcolour, linkcolor=linkcolour}
\firstname{Frederick}
\familyname{Robinson}
\address{}{San Francisco, CA}
\phone{(321) 613-8838}
\email{frederick.robinson@gmail.com}
\nopagenumbers{}
\begin{document}
\vspace*{-7mm}
\hypersetup{pdftitle={Frederick Robinson}} %% sets title in PDF Metadata
\maketitle
\vspace*{-7mm}
\section{Employment}
\cventry{2022-present}{Staff Machine Learning Engineer}{Stripe, Inc.}{Supportability Intelligence}{}{
\begin{itemize}
\item{Tech Lead for a team of backend and machine learning engineers.} % Leadership
\item{Improved Terms of Service violation enforcement by more than $20\%$ with Large Language Models.} % MKB LLM
\item{Created new service to centralize information about merchant business models. } %MKB service
\item{Developed transformers-based merchant website text classfication model. } %multi-tos
\end{itemize}
}
\cventry{2017-2022}{Senior Applied Scientist}{Amazon AWS - Interactive Video Service}{Twitch}{}{
\begin{itemize}
\item{Mentored other applied scientists, leading to one being promoted.}
\item{Designed, and productionized realtime machine learning model to optimize data center selection for video playback, reducing global video buffering rates by >1\%.} % QoS Predictions
\item{Launched new machine learning service for predicting optimal video player settings.} % Zoltar
\item{Created streaming fraud detection machine learning system, improving fraud detection by more than 75\% for problematic channels.} % Streaming Viewbots
\item{Implemented first mathematical-model based method for transcode server configuration, improving server hardware utilization by $>5\%$.} % Optimization
\item{Wrote production golang code for backend service serving $>50$k RPS.} % Engineering
\end{itemize}
}
\cventry{2014-2017}{Software Engineer}{Google, Inc. - Display Ads}{Remarketing Quality}{}{
\begin{itemize}
\item{Developed end-to-end real-time bidding system calibrated by offline auction simulation.}
\item{Built models to optimized advertiser ROI by learning advertiser-specific bidding strategies.}
\item{Wrote and maintained production mapreduce pipeline and monitoring.}
\item{Enabled additional traffic expansion worth tens of millions in incremental annual revenue.}
\item{Trained models to improve CTR on multi-product ads.}
\end{itemize}
}
\cventry{2012-2014}{Teaching Assistant}{University of California, Los Angeles}{}{}{}
\section{Skills}
\cvline{Skills}{Machine Learning, Data Science, Data Engineering}
\cvline{Languages}{
Python,
Golang
}
\section{Education}
\cventry{2014}{Master of Arts in Mathematics}{University of California Los Angeles}{}{}{}
\cventry{2012}{Bachelor of Arts in Mathematics with Honors}{Northwestern University}{}{}{}
\end{document}