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https://github.com/asimonson1125/Resume.git
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finalize pre-capstone
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@@ -301,9 +301,9 @@
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\newcommand{\cvproject}[2]{%
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{\large\color{emphasis}#1}
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\medskip\normalsize
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{\color{accent}\hspace{.1in}$|$\hspace{.05in}#2}\par
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\normalsize
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% \medskip\normalsize
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% {\color{accent}\hspace{.1in}$|$\hspace{.05in}#2}\par
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% \normalsize
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}
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\newcommand{\cvactivity}[6]{%
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@@ -106,7 +106,7 @@
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\item Primary model developer of RushReady from inception through multimillion dollar product commercialization
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\item Engineered near-real-time data platform with Delta Live Tables and automated MLOps lifecycle across QSR brands
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\item Built explainable anomaly detection with XGBoost/SHAP attribution and brand-configurable recommendations, increasing speed of service by 20\%
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\item Liaison for Microsoft in 100-member AI accelerator program
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\item Represented Ecolab as liaison in Microsoft's 100-member AI accelerator program
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\end{itemize}
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\cvtag{Azure}
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\cvtag{Databricks}
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@@ -131,7 +131,7 @@
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\cvsection{Projects}
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\cvproject{Human vs AI Code Smell Study}{\homepage{asimonson.com}}
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\cvproject{Human vs AI Code Smell Study}{}
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\begin{itemize}
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\item Analyzed 85K+ code definitions comparing AI vs human code maintainability via static analysis and non-parametric statistics
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\item Found AI code carries 3--4x more structural debt invisible to reviewers; recommends automated quality gates for AI-generated PRs
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@@ -139,7 +139,7 @@
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\divider
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\cvproject{Generalized Trust Review}{\homepage{asimonson.com}}
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\cvproject{Generalized Trust Review}{}
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\begin{itemize}
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\item Cross-national correlation analysis (r=0.624, p{<}0.001) of media and science trust across 128 countries with subgroup OLS regression
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\item Trust transfer attenuates 5.7x in low-press-freedom regimes; quartile progression from 12.3\% to 26.2\%
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@@ -155,7 +155,7 @@
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\divider
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\cvproject{Slate}{\githubProject{Slate}}
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\cvproject{Slate}{}
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\begin{itemize}
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\item Surfaces optimal meeting windows by vectorizing iCalendar data into discrete-time signals with weighted constraint scoring
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\item Periodic fold analysis surfaces recurring availability patterns across an 80-member org
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