cv/main.tex at master · frank/cv · GitHub

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\documentclass[9pt]{developercv}


\begin{document}

% HEADER

\begin{minipage}[t]{0.45\textwidth}
    \vspace{-\baselineskip}
    \colorbox{black}{{\fontsize{26}{0}\textcolor{white}{\textbf{\MakeUppercase{Francesco}}}}}\\
    \colorbox{black}{{\fontsize{26}{0}\textcolor{white}{\textbf{\MakeUppercase{Dal Canton}}}}}\\
\end{minipage}
\begin{minipage}[t]{0.27\textwidth}
    \vspace{-\baselineskip}
    \icon{MapMarker}{12}{Amsterdam, NL}\\
    \icon{Phone}{12}{+31~65~040~7596}\\
    \icon{At}{12}{\href{mailto:fr.dalcanton@gmail.com}{fr.dalcanton@gmail.com}}\\
\end{minipage}
\begin{minipage}[t]{0.28\textwidth}
    \vspace{-\baselineskip}
    \icon{Github}{12}{\href{https://github.com/frank}{github.com/frank}}\\
    \icon{Linkedin}{12}{\href{https://www.linkedin.com/in/francesco-dal-canton/}{linkedin.com/in/fdalcanton}}\\
    \icon{GraduationCap}{12}{\href{https://scholar.google.com/citations?user=m8xUHiMAAAAJ}{tinyurl.com/fdalcanton-pubs}}\\
\end{minipage}

\vspace{1.5cm}

% INTRODUCTION

\begin{minipage}[t]{0.3\textwidth}
    \vspace{-\baselineskip}
    \cvsect{About Me}\\
    Artificial Intelligence MSc graduate with industry experience in delivering Deep Learning, Computer Vision, Geometric Deep Learning, and Time Series Analysis solutions.
\end{minipage}
\hfill
\begin{minipage}[t]{0.39\textwidth}
    \vspace{-\baselineskip}
    \cvsect{Skills}\\
    \texttt{PyTorch}\slashsep\texttt{Tensorboard}\slashsep\texttt{Amazon SageMaker}\slashsep\texttt{Slurm}\slashsep\texttt{Pandas}\slashsep\texttt{scikit-learn}\slashsep\texttt{VTK}\slashsep\texttt{gRPC}\slashsep\texttt{ONNX}\slashsep\texttt{H5PY}\slashsep\texttt{OpenSlide}\slashsep\texttt{NLTK}\slashsep\texttt{spaCy}\slashsep\texttt{Gensim}\slashsep\texttt{Docker}\slashsep\texttt{Singularity}
\end{minipage}
\hfill
\begin{minipage}[t]{0.2\textwidth}
    \vspace{-\baselineskip}
    \cvsect{Languages}\\
    \textbf{English} - C2\\
    \textbf{Italian} - C2
\end{minipage}

\vspace{1cm}

\cvsect{Experience}

\begin{entrylist}
\entry
    {11/2021\,--\,Now}
    {Deep Learning Researcher}
    {Medis Medical Imaging}
    {Researched, developed, and validated production-ready computer vision algorithms (Deep Learning-based and otherwise) for echocardiography and CT angiography workflow automation. Maintained and developed training, inference, and evaluation infrastructure.\\
    \texttt{PyTorch}\slashsepb\texttt{Slurm}\slashsepb\texttt{scikit-learn}\slashsepb\texttt{gRPC}\slashsepb\texttt{ONNX}\slashsepb\texttt{Docker}}
\entry
    {5/2021\,--\,7/2021}
    {Artificial Intelligence Analyst}
    {The Netherlands Cancer Institute}
    {Investigated Deep Learning-based methods for outcome prediction of Ductal Carcinoma in Situ (DCIS) from pathology whole-slide images (WSIs).\\
    \texttt{PyTorch}\slashsepb\texttt{Slurm}\slashsepb\texttt{Docker}\slashsepb\texttt{Singularity}}
\entry
    {11/2019\,--\,4/2021\\\footnotesize{internship}}
    {Research Intern}
    {The Netherlands Cancer Institute}
    {Researched and developed a computational pipeline for predicting outcome of DCIS from WSIs.\\
    \texttt{PyTorch}\slashsepb\texttt{Slurm}\slashsepb\texttt{Docker}\slashsepb\texttt{Singularity}}
\entry
    {6/2019\\\footnotesize{internship}}
    {Research Intern}
    {KPN}
    {NLP and Data Mining project in collaboration with the University of Amsterdam.\\
    \texttt{scikit-learn}\slashsepb\texttt{NLTK}\slashsepb\texttt{spaCy}\slashsepb\texttt{Gensim}}
\entry
    {3/2018\,--\,6/2018}
    {Teaching Assistant}
    {University of Groningen}
    {Assisted teaching for the BSc Neural Networks course at the University of Groningen.}
\entry
    {3/2018\,--\,8/2018\\\footnotesize{internship}}
    {Research Intern}
    {Universitair Medisch Centrum Groningen}
    {Analysed biometric signals to perform early detection of sepsis in ICU patients.\\
    \texttt{scikit-learn}}
\end{entrylist}

\vspace{1cm}

\cvsect{Education}

\begin{entrylist}
\wideentry
    %{2018\,--\,2021}
    {MSc in Artificial Intelligence (Cum Laude)}
    {University of Amsterdam}
    {I presented an abstract on my thesis \emph{Multiple-Instance Learning for Assessing Prognosis of Ductal Carcinoma In Situ} at the European Congress of Pathology of 2021. Follow-up research based on my work was \href{https://doi.org/10.1117/12.2612838}{accepted at SPIE 2022}.\\
    % \texttt{Python}
    }
\wideentry
    %{2015\,--\,2018}
    {BSc in Artificial Intelligence (Honours in Philosophy)}
    {University of Groningen}
    {I presented a paper resulting from my thesis on \emph{Early Detection of Sepsis Induced Deterioration Using Machine Learning} at the BENELEARN2018 conference, and the paper was \href{https://doi.org/10.1007/978-3-030-31978-6_1}{published in the conference proceedings}.\\
    % \texttt{Python}\slashsepb\texttt{C}\slashsepb\texttt{Matlab}\slashsepb\texttt{Java}
    }
\end{entrylist}

% MISC

%\begin{minipage}[t]{0.45\textwidth}  % was 0.45
%    \vspace{-\baselineskip}
%    \cvsect{Soft Skills}\\
%    I am organized, detail oriented, good at team building, and verbal communication.
%\end{minipage}
%\hfill
%\begin{minipage}[t]{0.225\textwidth}
%    \vspace{-\baselineskip}
%    \cvsect{Hobbies}\\
%    I love cooking, playing bass, sailing, and martial arts.
%\end{minipage}

\end{document}