Twenty-Seconds_cv.tex

\documentclass[]{twentysecondcv}

\begin{document}

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%%PROFILE SIDE BAR%%
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%%PERSONAL INFO%%%
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\cvname{Jia Rong Wu} %your name
\cvjobtitle{Solutions Architect}%your actual job position
%\cvaddress{Canada}%address
%\cvnumberphone{+1 2269807654}%telphone number
\cvmail{jwu424@gmail.com}%e-mail
\cvsite{jiarongwu.com}%personal site
\cvlinkedin{linkedin.com/in/jia-rong-wu/}%linkedin
\cvgithub{github.com/JRWu}%Github
\cvgooglescholar{GoogleScholar - JRWu}%GoogleScholar

\aboutme{
I am a software engineer and academic. I have been writing software for over a decade starting with Java/C, analyzing data with R/Python, and building models using Tensorflow. Throughout my career, I've built startups from the ground-up, taught at academic institutions, and driven revenue generating operations for enterprises.
} %About me section

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%%%%%%Skill bar section, each skill must have a value between 0 an 6 (float)%%%%%%%
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\skills{
    {Enterprise Sales/4.8},
    {Requirements Elicitation/4.9},
    {Collaboration/4.8},
    {Teaching/4.5},
    {Object Oriented Programming/4.8},
    {Functional Programming/4.3}}

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%%%%%%Skill text section
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\skillstext{
    \large{Programming Languages}
    \begin{enumerate}
        \small
        \item Python
        \item R
        \item Java
        \item GoLang
        \item SQL
    \end{enumerate}
    \large{Frameworks}
    \begin{enumerate}
        \small
        \item Tensorflow
        \item PyTorch
        \item *nix systems
    \end{enumerate}
    \large{Tools}
    \begin{enumerate}
        \small
        \item Git
        \item Docker
        \item Kubernetes
        \item Hubspot
        \item AWS\slash GCP
    \end{enumerate}
}
\makeprofile
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%%END PROFILE SIDE BAR%%
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%%%%%%%%BODY%%%%%%%%
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%%SIMPLE SECTION%%%%%%
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%\section{Interests}
% APIs, Applications of Artificial Intelligence, and Academia.

\vspace{8px}
\section{Experience}
\vspace{-10px}

\begin{twenty}
  \twentyitem
    {Tyk Technologies}
    {Solutions Architect}
    {[09/2021 - Present]}
    {
    \begin{itemize}
        \item[$\bullet$] Solutionize, support, and close strategic deals in complex sales cycles, generating \$2M+ ARR through technical consultations and demonstrations 
        \item[$\bullet$] Lead technical on-sites for customer accounts, enabling and delivering hundreds of thousands of ARR through land and expand opportunities 
        \item[$\bullet$] Increased velocity of customer evaluations by developing and maintaining a repository for building custom Go Plugins, reducing time from discovery to commercial negotiations
        \item[$\bullet$] Contribute to core software product (API Gateway) through pull requests, adding features that unlock revenue and unblock customers
        \item[$\bullet$] Act as technical expert and advisor for enterprise accounts, collaborating with internal teams to prioritize revenue generating features 
        \item[$\bullet$] Promoted company from Visionary to Leader on the Gartner Magic Quadrant in 2023 through strategic consultations and content creation 
    \end{itemize}
    }
  \twentyitem
    {AUSPRE}
    {Machine Learning Engineer}
    {[02/2019 - 09/2021]}
    {
    \begin{itemize}
        \item[$\bullet$] Trained, tested and deployed end-to-end Transformer models for speaker diarization and speech-to-text workflows using Tensorflow
        \item[$\bullet$] Spearheaded the development and deployment of efficient ETL data pipelines, reducing model training time from days to hours
        \item[$\bullet$] Secured funding through delivering pitches and writing grants, enabling business growth
    \end{itemize}
    }
  \twentyitem
    {Eighty8 Ventures}
    {Full Stack Developer}
    {[01/2017 - 02/2019]}
    {
    \begin{itemize}
        \item[$\bullet$] Engineered robust microservices using Python, PHP and MySQL, powered by ReactJS
        \item[$\bullet$] Implemented algorithms to solve complex technical issues and optimized code, resulting in performance improvements of over 200\%
        \item[$\bullet$] Collaborated with stakeholders in an Agile development environment, consistently meeting and beating project deadlines
    \end{itemize}
    }
  \twentyitem
    {Waterloo University}
    {Research/Teaching Assistant}
    {[09/2016 - 04/2018]}
    {
    \begin{itemize}
        \item[$\bullet$] Trained, tested and deployed Convolutional Neural Network models to predict tandem mass spectrometry spectra 
        \item[$\bullet$] Optimized assignment grading efficiency by an order of magnitude (days to seconds) by developing grading software and automated pipelines
    \end{itemize}
    }
  \twentyitem
    {Western University}
    {Software Developer}
    {[05/2015 - 06/2016]}
    {
    \begin{itemize}
        \item[$\bullet$] Refactored data analysis pipelines from Perl to C, while optimizing time complexity from O(n$^2$) to O(nlogn), reducing data compute times from hours to minutes
        \item[$\bullet$] Authored multiple peer-reviewed publications regarding compositional data analysis and data processing
%        \item[$\bullet$]Presented at global research conferences such as International Society for Computational Biology
    \end{itemize}
}

\end{twenty}





\section{Education}
\vspace{-10px}
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%%%%%%%%%%%%%TWENTY LIST ITEMS%%%%%%%%%%%%%%
%%    Four arguments: date; title; where; description %%%%
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\begin{twenty}
  \twentyitem
    {Waterloo University}
    {M.Sc. Mathematics}
    {[2016 - 2018]}
    {\\Computer Science}
  \twentyitem
    {Western University}
    {B.Sc. Honours Computational Biochemistry}
    {[2012 - 2016]}
    {\\Computer Science}
\end{twenty}


\section{Certifications}
\vspace{-12px}

\begin{twenty}
    \twentyitem
    {Linux Foundation}
    {Certified Kubernetes Application Developer}
    {[01/2023]}
    {}
\end{twenty}

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%%%%%%%%%TWENTY LIST SHORTITEMS%%%%%%%%%%%%%%
%%% Two arguments: date; title/description %%%%%%%%%%
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%\section{Projects}
%\vspace{-10px}

%\begin{twenty}
%  \twentyitem
%    {Title}
%    {Description}
%    {[Year] \\}
%    {Items}
%\end{twenty}
%\vspace{-10px}

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%%%%%ENDBODY%%%%%%%%
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\end{document}