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% Universal Resume in Latex
% Author : Ethan Villalovoz
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% License : MIT
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pdftitle={Ethan Villalovoz - Technical Resume},
pdfauthor={Ethan Villalovoz},
pdfsubject={Software engineering, AI/ML, robotics, and research experience},
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%-------------------------------------------
%%%%%% RESUME STARTS HERE %%%%%%%%%%%%%%%%%
\begin{document}
%----------HEADING----------
\begin{center}
{\Large \scshape Ethan Villalovoz} \\ \vspace{1pt}
{\small
\resumelink{tel:+15305581523}{(530) 558-1523} $|$
\resumelink{mailto:ethan.villalovoz@gmail.com}{ethan.villalovoz@gmail.com} $|$
\resumelink{https://www.linkedin.com/in/ethanvillalovoz/}{LinkedIn} $|$
\resumelink{https://github.com/ethanvillalovoz}{GitHub} $|$
\resumelink{https://ethanvillalovoz.com}{ethanvillalovoz.com}
}
\end{center}
%-----------EDUCATION-----------
\section{Education}
\resumeSubHeadingListStart
\resumeSubheading
{Georgia Institute of Technology}{Expected May 2028}
{M.S. in Computer Science (Computational Perception \& Robotics) $|$ GPA: 4.0/4.0}{Atlanta, GA}
\resumeSubheading
{Washington State University, Honors College}{Aug 2021 -- May 2025}
{B.S. in Computer Science, Minor in Mathematics $|$ GPA: 3.94/4.0, Summa Cum Laude}{Pullman, WA}
\resumeItemListStart
\resumeItem{\textbf{Honors \& Awards:} CS Research Mentorship Program Scholar, Google Research; Generation Google Scholarship}
\resumeItemListEnd
\resumeSubHeadingListEnd
%-----------EXPERIENCE-----------
\section{Experience}
\resumeSubHeadingListStart
\resumeSubheading
{Georgia Institute of Technology}{Feb 2026 -- Present}
{Graduate Student Researcher}{Atlanta, GA}
\resumeItemListStart
\resumeItem{Adapting a \textbf{Wan2.2-TI2V-5B video-to-action codebase} to train and evaluate robot policies on \textbf{LIBERO} by adding dataset conversion, action normalization, and PyTorch/Hydra pipelines.}
\resumeItemListEnd
\resumeSubheading
{Microsoft}{May 2026 -- Jul 2026}
{Software Engineer Intern}{Redmond, WA}
\resumeItemListStart
\resumeItem{Built a C\#/.NET 10 proof-of-concept \textbf{AI agent for financial close} using Azure AI Foundry, Azure OpenAI, and GraphQL APIs, giving users one natural-language interface to investigate blockers across multiple applications.}
\resumeItem{Cut measured AI inference cost about \textbf{30$\times$} while matching GPT-5.4 tool-routing quality by benchmarking 7 Azure OpenAI models, selecting GPT-5.4-nano, curating its tools, and correcting routing failures with targeted instructions.}
\resumeItem{Increased agent throughput about \textbf{22$\times$ (0.5 to 11 requests/second)} by load-testing concurrency, tracing throttling to undersized Azure OpenAI capacity, and resizing the deployment with no observed throttling failures.}
\resumeItem{Resolved \textbf{22 security findings} across two production repositories, including preventing unauthorized file access across four C\# endpoints through layered path and permission validation backed by 67 tests.}
\resumeItemListEnd
\resumeSubheading
{Carnegie Mellon University}{Jun 2024 -- Aug 2024}
{Robotics Institute Summer Scholar}{Pittsburgh, PA}
\resumeItemListStart
\resumeItem{Developed a \textbf{Python Bayesian reward-learning simulation} for household robotics, modeling user preferences with hierarchical decision trees over object type, color, material, and placement.}
\resumeItem{Implemented an \textbf{interactive MDP} that updated beliefs from simulated object-placement corrections and follow-up feature questions, ranking the ground-truth preference model highest in a rollout.}
\resumeItemListEnd
\resumeSubheading
{Google}{May 2023 -- Aug 2023}
{Software Engineering Intern (STEP)}{Sunnyvale, CA}
\resumeItemListStart
\resumeItem{Developed and deployed \textbf{5 C++/SQL statistics-collection jobs} for pending queues in an internal database, replacing manual analysis with automated metric reporting.}
\resumeItem{Scaled statistics collection from \textbf{1\% to 100\% of the database in under 4 hours} by implementing incremental job sampling, reducing anticipated runtime by 66\%.}
\resumeItemListEnd
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%-----------PROJECTS-----------
\section{Projects}
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\resumeProjectHeading
{\resumelink{https://knowledge-graph-rag.github.io/}{\textbf{Knowledge Graph RAG Assistant}} $|$ React, TypeScript, FastAPI, FAISS, DBpedia/SPARQL, OpenAI, Docker}{}
\resumeItemListStart
\resumeItem{Generated and indexed SentenceTransformer embeddings from \textbf{5GB+ of Wikipedia data} spanning \textbf{10{,}000+ articles} for a RAG assistant that answers questions using FAISS semantic search and DBpedia knowledge-graph context.}
\resumeItemListEnd
\resumeSubHeadingListEnd
%-----------PUBLICATIONS-----------
\section{Publications}
\begin{itemize}[leftmargin=0pt, label={}, itemsep=2pt]
\item \small{
\resumelink{https://arxiv.org/abs/2512.15076}{\textbf{An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models}}.
S. Tomar, A. Deshwal, \textbf{E. Villalovoz}, M. Fazzini, H. Cai, J. R. Doppa.
\emph{arXiv:2512.15076}, 2025.
}
\item \small{
\resumelink{https://ethanvillalovoz.com/data/research/2023_OSU_Social_Triangles_and_Aggressive_Lines/2023_IROS_Social_Triangles_Agressive_Lines_bacula.pdf}{\textbf{Social Triangles and Aggressive Lines: Multi-Robot Formations Impact Navigation and Approach}}.
A.~Bacula, \textbf{E.~Villalovoz}, D.~Flynn, A.~Mehta, H.~Knight.
\emph{IROS}, 2023.
}
\end{itemize}
%-----------TECHNICAL SKILLS-----------
\section{Technical Skills}
\begin{itemize}[leftmargin=0pt, label={}]
\small{\item{
\textbf{Languages \& Scripting}{: Python, C/C++, C\#, SQL, TypeScript, JavaScript, Bash, PowerShell} \\
\textbf{AI/ML \& Robotics}{: PyTorch, Hugging Face Transformers, scikit-learn, NumPy, FAISS, OpenCV, ROS} \\
\textbf{Web/Backend}{: .NET, ASP.NET Core, GraphQL, React, Next.js, FastAPI, Flask, REST APIs} \\
\textbf{Cloud \& Tools}{: Microsoft Azure, Azure AI Foundry, Azure OpenAI, AWS, Docker, Git, GitHub Actions}
}}
\end{itemize}
%-------------------------------------------
\end{document}

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