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% Based on `template.tex' by Xavier Danaux ( as part of the
% moderncv LaTeX package.
\moderncvstyle{classic} % style options are 'casual' (default), 'classic', 'oldstyle' and 'banking'
\moderncvcolor{green} % color options 'blue' (default), 'orange', 'green', 'red', 'purple', 'grey' and 'black'
% metadata
pdfauthor={Laurel Hart},
pdftitle={Laurel Hart's Resume},
pdfkeywords={resume, cv, natural language processing, machine learning, nlp, ml}
% character encoding
% style adjustments
% adjust the page margins
% scale bigger -> smaller margins
% personal data
\name{Laurel}{Hart\vspace*{-4mm}} %sorry this part is a bit hacky
\title{\hspace{.25in}{Computational Linguist}}
% could also put phone in
% content
%----- resume ---------------------------------------------------------
% Experience
\cventry{2018---Present}{Natural Language Processing Specialist}{Woebot Labs, Inc.}{San Francisco, CA}{}{
\item Improved Natural Language Understanding in the Woebot chatbot
\item Created a more naturalistic conversation experience for users
\item Applied expertise in chatbot conversational design to existing product
\item Identified common pitfalls and suggested solutions
\item Conducted analysis of how natural language understanding issues affect retention during app onboarding
\item Assisted in creation of new chatbot authoring environment for use by non-technical users
\cventry{2015---2017}{Artificial Intelligence Engineer}{PullString, Inc. (formerly ToyTalk, Inc.)}{San Francisco, CA}{}{
\item Worked on \textit{PullString Author}, a software platform for authoring human-fidelity AI conversation
\item Designed, implemented, and improved Natural Language Processing features
\item Features included negation detection, number conversion, user and author input normalization
\item Established large-scale testing to support data-driven decision-making
\item Collaborated with technical and non-technical peers on product features
\item Expressive word/pattern matching syntax for use by non-technical users
\item Natural Language Processing and Machine Learning -based synonym and phrase suggestion
\cventry{2014}{Research Assistant}{University of Washington - CSE}{Seattle, WA}{}{
\item Created a Java training data pipeline for multi-linguistic relation extraction system, MultiR
\item Worked with large corpora:
\item Gigaword English, Spanish, and Chinese corpora: over 9 million documents
\item Freebase: currently over 2 billion facts
\item Utilized Stanford's CoreNLP package for tokenization, Named Entity Recognition, parsing, etc.
% Education
\cventry{2013---2014}{Professional Master of Science in Computational Linguistics}{\hfill \newline University of Washington}{Seattle, WA}{}{
\item Completed intensive, graduate-level program in 1 year
\item Focused on Natural Language Processing (NLP), Machine Learning (ML), and language modeling
\item Specific topics included Machine Translation, Information Retrieval, and Question Answering
\cventry{2009---2013}{Bachelor of Arts in Applied Linguistics}{Portland State University}{Portland, OR}{}{
\item Minor in Computer Science
\item Honors College, undergraduate thesis: ``The Linguistics of Sentiment Analysis''
% Technical Skills
\section{Technical skills \& selected projects}
\cvitem{\textbf{ML}}{kNN, Decision Trees, Na\"{i}ve Bayes, MaxEnt, and SVM (Python)}
\cvitem{\textbf{NLP}}{HMM-based Part-of-Speech tagger, Word Sense Disambiguation system, CKY parser, tokenization, Context Free Grammars incorporating features and semantic representations}
\cvitem{\textbf{Languages}}{Python, C++, Java}
\cvitem{\textbf{Tools}}{TensorFlow, FastText, NLTK, spaCy, Stanford CoreNLP, Git, Mercurial, Bash, \LaTeX }
% Publications
\cvitem{2013}{Hart, Laurel ``\textbf{The Linguistics of Sentiment Analysis}'' Portland State University \textit{PDX Scholar}. 2013: \protect\httplink[]{}}
\cvitem{2012}{Hart, Laurel, Hassan Alam and Aman Kumar, ``\textbf{Revisiting Arabic Semantic Role Labeling using SVM Kernel Methods}'' \textit{Proceedings of COLING 2012}. December, 2012:
207—14. \protect\httplink[]{}}