Use Flakes

.github/workflows/pdf.yml

@@ -5,9 +5,6 @@ on:
     tags:
     - 'v*' # Push events to matching v*, i.e. v1.0, v20.15.10
 
-env:
-  CARGO_TERM_COLOR: always
-
 jobs:
   build:
     runs-on: ubuntu-latest
@@ -16,11 +13,6 @@ jobs:
       - name: Set up Git repository
         uses: actions/checkout@v2
 
-      - name: Generate Latex Doc
-        run:  |
-          cargo install jsonresume-renderer
-          $HOME/.cargo/bin/jsonresume-renderer -j $GITHUB_WORKSPACE/config/resume.json -t $GITHUB_WORKSPACE/templates/resume.tex -o resume.tex
-      
       - name: Compile LaTeX document
         uses: xu-cheng/latex-action@v2
         with:

.gitignore

@@ -1,3 +1,5 @@
 .idea/
 *.iml
-/resume.*
+.envrc
+.direnv
+result

README.md

@@ -7,12 +7,6 @@ This repo generates my resume, using [JSON Resume standard](https://jsonresume.o
 
 ## PDF Generation
 
-A workflow uses the [jsonresume-renderer](https://github.com/gapuchi/jsonresume-renderer). The JSON resume file and LaTex template file present in this repo are passed to the `jsonresume-renderer` binary, which generates a LaTex file. [github-action-for-latex](https://github.com/marketplace/actions/github-action-for-latex) compiles the generated latex file to a PDF. Both the LaTex and PDF files are uploaded as assets to this repo's releases.
+[github-action-for-latex](https://github.com/marketplace/actions/github-action-for-latex) compiles the generated latex file to a PDF. Both the LaTex and PDF files are uploaded as assets to this repo's releases.
 
 Check out the [Releases](https://github.com/gapuchi/resume/releases) for my latest resume.
-
-## Website
-
-A workflow pushes my `resume.json` to a public Github Gist, which is then rendered by [JSON Resume](https://jsonresume.org/getting-started/).
-
-Check out my [resume website](https://registry.jsonresume.org/gapuchi).

flake.nix

@@ -0,0 +1,41 @@
+{
+  description = "LaTex Build";
+
+  inputs = {
+    nixpkgs.url = "github:nixos/nixpkgs?ref=nixos-unstable";
+  };
+
+  outputs = { self, nixpkgs }: {
+    devShells.x86_64-linux.default = 
+      let
+        pkgs = nixpkgs.legacyPackages.x86_64-linux;
+      in pkgs.mkShell {
+        buildInputs = with pkgs; [ 
+          texliveFull
+        ];
+      };
+
+    packages.x86_64-linux.default = 
+      let
+        pkgs = nixpkgs.legacyPackages.x86_64-linux;
+      in pkgs.stdenvNoCC.mkDerivation rec {
+        name = "hello";
+        src = self;
+        buildInputs = with pkgs; [
+          pkgs.coreutils 
+          pkgs.texliveFull
+        ];
+        phases = ["unpackPhase" "buildPhase" "installPhase"];
+        buildPhase = ''
+          export PATH="${pkgs.lib.makeBinPath buildInputs}";
+          mkdir -p .cache/texmf-var
+          env TEXMFHOME=.cache TEXMFVAR=.cache/texmf-var \
+            latexmk -interaction=nonstopmode -pdf document.tex
+        '';
+        installPhase = ''
+          mkdir -p $out
+          cp document.pdf $out/
+        '';
+      };
+  };
+}

resume.tex

@@ -0,0 +1,105 @@
+\documentclass[letterpaper,11pt]{article}
+
+\usepackage[margin=1cm]{geometry}
+\usepackage{titlesec}
+\usepackage{color}
+\usepackage{enumitem}
+\usepackage[hidelinks]{hyperref}
+\usepackage[default]{sourcesanspro}
+\usepackage{fancyhdr}
+
+% fancyhdr config
+\pagestyle{fancy}
+\fancyhf{}
+\renewcommand{\headrulewidth}{0pt}
+\renewcommand{\footrulewidth}{0pt}
+
+% Ensure that generate pdf is machine readable/ATS parsable
+\input{glyphtounicode}
+\pdfgentounicode=1
+
+% enumitem config
+\setlist{nosep, label=\textbullet}
+
+% hyperref config
+\urlstyle{same}
+
+% titlesec config
+\titleformat{\section}{
+\vspace{-4pt}\scshape\raggedright\large}{}{0em}{}[\color{black}\titlerule \vspace{-5pt}]
+
+% tabular config
+\setlength{\tabcolsep}{0in}
+
+% text alignment
+\raggedbottom
+\raggedright
+
+\begin{document}
+
+\begin{tabular*}{\textwidth}{l@{\extracolsep{\fill}}r}
+\textbf{\href{https://arjun.adhia.net}{\Large Arjun Adhia}} & Email : \href{mailto:[email protected]}{[email protected]}\\
+\href{https://arjun.adhia.net}{https://arjun.adhia.net} & Mobile : (704) 658-6570 \\
+\end{tabular*}
+
+\section{Education}
+\begin{itemize}[leftmargin=0.15in, label={}]
+
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textbf{University of North Carolina at Chapel Hill} & Chapel Hill, NC\\\end{tabular*}
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textit{\small{  B.S Computer Science, Economics  }} &\textit{\small{  Aug 2013 -- May 2017  }}\\\end{tabular*}
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textit{\small{  Minor Mathematics  }} &\textit{\small{  }}\\\end{tabular*}
+
+\end{itemize}
+
+\section{Work Experience}
+\begin{itemize}[leftmargin=0.15in, label={}]
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textbf{Amazon EMR Serverless (Amazon Web Services)} & Seattle, WA\\\end{tabular*}
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textit{\small{Software Development Engineer II}} &\textit{\small{Apr 2021 -- Present }}\\\end{tabular*}
+
+    \begin{itemize}
+        \item\small{Led the design, implementation, and release of custom EMR Serverless images, enabling customers to install/configure packages optimized for their workloads and integrate with current CI/CD best practices. +100 customers successfully submitted +5000 jobs within the first two months of launch.}
+        \item\small{Contributed towards launching AWS EMR Serverless, a new AWS EMR offering which enables clients to setup an EMR cluster 75\% faster. This is achieved by avoiding the need to setup, maintain, or configure EC2 hosts or EKS clusters.}
+        \item\small{Developed one of EMR Serverless control plane components with $>$99\% availability and $>$15 TPS at launch that provides nodes to client's distributed application (i.e. Spark and Hive)}
+        \item\small{Improved clients' applications' start-time by $>$85\% by 1/ adding an application configuration to clients that proactively created nodes before application submission and 2/ evaluated various optimization strategies to reduce Docker images pull times by 90\%.}
+        \item\small{Designed a multi-tenant service that enables multiple clients to run applications while ensuring network and compute isolation between clients.}
+        \item\small{Led the implementation of metrics and creation of monitoring dashboards in parts of EMR Serverless to improve debugging and proactively identify issues.}
+    \end{itemize}
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textbf{Universal Brand Catalog (Amazon.com)} & Seattle, WA\\\end{tabular*}
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textit{\small{Software Development Engineer}} &\textit{\small{Aug 2017 -- Apr 2021 }}\\\end{tabular*}
+
+    \begin{itemize}
+        \item\small{Developed a system that maps over 30 billion products to an Amazon brand database daily to discover products and brands not present in the Amazon Catalog and to determine brands’ selling potentials}
+        \item\small{Maintained a platform (Crater) built on top of AWS Mechanical Turk to allow users to consolidate worker responses manually, increasing accuracy of responses when compared to the default string comparison}
+        \item\small{Developed a Crater feature to allow users to choose which workers gets paid, saving the original costs of paying all workers, regardless of their responses’ quality}
+        \item\small{Developed a Crater feature to retrieve responses before all questions (1000+ per batch) were answered, reducing the wait time from days to minutes for downstream consumers}
+        \item\small{Coordinated the handoff of Crater to another team and documented parity requirements for their effort to consolidate Crater with their own platform to unify functionality across the Selection Monitoring org}
+    \end{itemize}
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textbf{Advertising Platform (Amazon.com)} & Seattle, WA\\\end{tabular*}
+    \item\begin{tabular*}{0.97\textwidth}[t]{l@{\extracolsep{\fill}}r}\textit{\small{Software Development Intern}} &\textit{\small{May 2016 -- Aug 2016 }}\\\end{tabular*}
+
+    \begin{itemize}
+        \item\small{Worked on the Ad Products team to create a page for advertisers to preview their ads collectively}
+        \item\small{Maintained site consistency by working with a Sr. UX designer to create the page layout and view}
+        \item\small{Ensured highest usability of the application by seeking feedback from stakeholders from 3 other teams}
+        \item\small{Used Java and React JS to create a dynamic webpage that easily scales to show 100+ ads}
+        \item\small{Deployed the project into production and documented my work for future maintainance}
+    \end{itemize}
+
+\end{itemize}
+
+\section{Open Source Projects}
+\begin{tabular*}{\textwidth}{p{0.20\linewidth}p{0.75\linewidth}}
+    \small{\textbf{jsonresume-renderer}} & \small{Created a Rust binary that takes in a JSON Resume file and a template to render a resume file. Used this library to generate my resume in LaTex.}\\
+    \small{\textbf{mafiaBot}} & \small{Created a minimal Python bot on Discord so members can randomly generate teams and assigns roles for specific role-playing games (e.g. mafia)}\\
+
+\end{tabular*}
+
+\section{Technologies}
+\begin{tabular*}{\textwidth}{p{0.12\linewidth}p{0.88\linewidth}}
+    \small{\textbf{Languages}} & \small{Java | Scala | TypeScript | Python | GoLang | Rust | SQL | JavaScript | C/C++}\\
+    \small{\textbf{AWS}} & \small{ECS | ECR | Fargate | Lambda | Step Function | DynamoDB | CloudFormation | CloudWatch | S3 | CDK | IAM | KMS | VPC}\\
+    \small{\textbf{Tooling}} & \small{Docker + containerd | Apache Spark | Spring | Guice | React | CI/CD}\\
+
+\end{tabular*}
+
+\end{document}