updated with the files from my other test of this

Author: morganwm

.github/workflows/build-resume.yml

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+name: Build Resume
+
+on:
+  push:
+    branches: [ main, master ]
+  pull_request:
+    branches: [ main, master ]
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v4
+      
+    - name: Install Typst
+      uses: typst-community/setup-typst@v2
+      with:
+        version: latest
+        
+    - name: Compile resume
+      run: typst compile resume.typ resume.pdf
+      
+    - name: Upload PDF artifact
+      uses: actions/upload-artifact@v4
+      with:
+        name: resume-pdf
+        path: resume.pdf
+        retention-days: 30
+        
+    - name: Create Release (on tag)
+      if: startsWith(github.ref, 'refs/tags/')
+      uses: softprops/action-gh-release@v1
+      with:
+        files: resume.pdf
+        draft: false
+        prerelease: false
+      env:
+        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.gitignore

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+# Compiled PDFs
+*.pdf
+
+# Typst cache
+.typst/
+
+# OS files
+.DS_Store
+Thumbs.db
+
+# Editor files
+.vscode/
+.idea/
+*.swp
+*.swo
+*~

AGENTS.md

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+# Agent Instructions & Best Practices for Typst Resume
+
+## Goal
+Create a Typst resume mirroring "Morgan Watson-Morris - Resume as of 11-06-2024.pdf".
+
+## Constraints
+- **Content**: Exact wording for experience is required. Only typos should be fixed.
+- **Style**: Match the visual style of the original PDF (layout, fonts, spacing).
+- **Tooling**: Use `typst` CLI to compile and verify.
+
+## Best Practices for Typst
+- **Structure**: Use functions for repeated elements like job entries, education blocks, and section headers.
+- **Styling**: Define a `resume` function that sets up the document properties (margins, fonts) and wraps the content.
+- **Robustness**: Escape special characters if necessary (though Typst handles most well).
+- **Iterative Development**: Compile often to ensure syntax is correct.
+
+## Workflow
+1. **Extraction**: Get the raw text from the PDF to ensure accuracy.
+2. **Templating**: Create the visual structure in Typst.
+3. **Population**: Fill in the content.
+4. **Verification**: Compile and check for errors.
+
+## Project Structure
+- `resume.typ`: Main source file (entry point).
+- `src/content.typ`: Resume content data.
+- `src/templates.typ`: Visual styling and component functions.
+- `base/`: Directory containing original resume files and extracted text.
+- `AGENTS.md`: This file.
+
+## Compilation
+Run `typst compile resume.typ` to generate the PDF.

README.md

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-# resume
-My Resume as Code
+# Resume
+
+A clean, maintainable Typst-based resume with modular structure and CI/CD pipeline.
+
+## Structure
+
+- `resume.typ` - Main entry point that imports templates and content
+- `src/templates.typ` - Reusable template functions (header, section, job, etc.)
+- `src/content.typ` - All resume content data (header info, work experience, education)
+- `base/` - Original resume documents and text extracts
+
+## Local Development
+
+### Prerequisites
+
+Install Typst:
+- macOS: `brew install typst`
+- Linux: See [Typst installation guide](https://typst.app/docs/getting-started/installation/)
+- Windows: See [Typst installation guide](https://typst.app/docs/getting-started/installation/)
+
+### Compile Resume
+
+```bash
+typst compile resume.typ resume.pdf
+```
+
+### Watch Mode (auto-compile on changes)
+
+```bash
+typst watch resume.typ resume.pdf
+```
+
+## Editing
+
+- **Update content**: Edit `src/content.typ` - all resume data is stored here
+- **Change styling**: Edit `src/templates.typ` - modify functions to adjust layout, fonts, spacing
+- **Structure changes**: Edit `resume.typ` - change the order or add/remove sections
+
+## CI/CD
+
+The repository includes a GitHub Actions workflow (`.github/workflows/build-resume.yml`) that:
+
+- Automatically compiles the resume on push to main/master
+- Creates a PDF artifact that can be downloaded
+- Creates a release with the PDF when you push a tag
+
+### Manual Workflow Trigger
+
+You can also manually trigger the workflow from the GitHub Actions tab.
+
+### Creating a Release
+
+To create a release with the compiled PDF:
+
+```bash
+git tag -a v1.0.0 -m "Resume update"
+git push origin v1.0.0
+```
+
+## File Organization
+
+The modular structure makes it easy to:
+- Update content without touching templates
+- Adjust styling without modifying content
+- Add new sections or reorganize the resume
+- Maintain version control with clear diffs

base/resume_text.txt

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+Software Engineer | 9 Years Professional Experience                                                             morgan.wm5@gmail.com | (989) 430-8935
+                                                                                                                              github.com/morganwm
+MORGAN WATSON-MORRIS
+
+Overview
+     •     5 Years at Apple: Infrastructure/Services on Manufacturing data (Current Job)
+     •     2 Years at Startups: Application/Services
+     •     2 Years at Dow Chemical: Robotics/Automation
+   I have a wide variety of experience with different technologies and aspects of the stack, from lower-level services in Go, API backends in Python, Node, and Java, to
+CI/CD with both binaries and Docker Images, Kubernetes management both directly and with Helm, AWS infrastructure and orchestration. I also enjoy working with
+customers and alongside partner teams to get a better understanding of a problem and hopefully come up with a solution that addresses what matters instead of a
+symptom of the root problem.
+
+            In my current role within Apple, I have worked on several different applications and services which all share the same goal, taking the enormous amount of
+information generated by our factories and allowing people to do something useful. This has taken many forms, a distributed real-time platform written in Go to help
+feed fraud detection ML models, backends for advanced analytical platforms in Python to help researchers draw business value, and most recently a new method for
+extracting, collecting, and organizing unstructured data to feed the growing wildfire that is AI/ML training.
+
+Work Experience
+S O F T W A R E EN G I NE E R – Apple (Manufacturing Data Insight) - Austin, Texas – May 2019 – Present
+●    Led Design and Implementation of Large Scale Data Ingestion and Movement for Apple Manufacturing Data
+     Tools: Golang, Linux tooling, Docker, AWS S3, Python, Kafka, and exploration in Flink
+                 ○    Led Discovery and Requirements gathering from various hardware and testing customers
+                 ○    Led Research into existing network and compute infrastructure at manufacturing sites
+                 ○    Designed and Built a lightweight daemon in Go with tunable performance characteristics for use at mfg. sites
+                 ○    Designed a fault tolerant system for coordinating the daemons running remotely on-sites
+                 ○    Built an initial MVP which served to collect several TB of targeted data for compliance and research purposes
+
+
+●    Led Design and Implementation of Analytics Platform for extremely large-scale data analytics on Apple Manufacturing Data
+     Tools: Jupyter, Python, Spark, Kubernetes, Docker/Containers, AWS (EKS, EC2, S3, CloudFormation, IAM)
+                 ○    Deep technical dive for Spark on K8s
+                 ○    Led coordination across teams to set up custom monitoring to ensure consistent performance.
+                 ○    Worked with AWS to optimize node “packing” to reduce idle compute.
+                 ○    Worked with users to determine requirements for a custom tooling to help them more easily use the platform.
+                 ○    Led experimentation for leveraging Rust based Polars data frames for rapid lookup in underlying data files.
+
+●    Designed, Architected, Led development for distributed system running on all Apple manufacturing data in real time and batch
+     Tools: Jupyter, Python, Spark, Kubernetes, Golang, Docker/Containers, Linux/Unix Tooling, AWS (S3)
+                 ○    Worked with users and data scientists to determine appropriate scope and requirements
+                 ○    Set up various CI, Packaging, and CD pipelines to allow for deployment of services to very secure, isolated sites
+                 ○    Lightweight daemon to coordinate movement of large amounts of data from various locations to centralized storage
+                 ○    Customer driven tools to allow for ease of interaction with overall platform
+                 ○    Set up pipeline to run arbitrary ML Docker Images on a combination of stored and incoming data in real-time
+                 ○    Set up ELT pipeline for extracting and aggregating values from manufacturing data
+                 ○    Set up ETL Pipelines for managing a nested set structure of apple employees generated from LDAP
+
+●    Team Technical Lead for Application Architecture, Infrastructure, and Backend Application Development
+     Tools: Grafana, Prometheus, Splunk, Spark, Kubernetes, Helm, Golang, Docker/Containers, Linux/Unix Tooling, AWS (S3)
+                 ○    Worked with DevOps teams to ensure best practices with CI/CD, HA, atomic/immutable deployments
+                 ○    Wrote Custom self-contained forwarder (library and image) to connect monitoring tools to Apple internal Alerting
+                 ○    Set up Monitoring/Logging Stack for distributed systems
+                 ○    Set up custom CI/CD pipeline for deploying distributed system and monitoring/alerting stack
+                 ○    Built standard Docker base image for use on K8s interfacing with Apple internal systems
+                 ○    Wrote tools to help make logging, observability, monitoring transparent for developers
+                 ○    Contributed to the official Internal Apple PySpark Sample Applications
+                 ○    Developed libraries for maintaining compatibility with S3 Crypto for internal Object Store
+S E N I O R S O F T W A R E E N G IN EE R , A R C H I T E C TU R E – Social Solutions Global - Austin, Texas – October 2018 – May 2019
+●    Technical Lead for Ecommerce Team
+●    Designed and Led Development on Identity Server with integrated MFA and email Domain verification [Cognito, Lambda]
+F U L L - S T A C K S O F TW A R E DE V E L O P E R – Social Solutions Global - Austin, Texas – May 2018 – October 2018
+●    Designed and developed an Enterprise grade (over $1 Million in pipeline per quarter) serverless Ecommerce Platform for SaaS
+     hosted in AWS [CloudFormation, Lambda, DynamoDB]
+●    Designed and developed an Account Management platform for Enterprise SaaS applications. [ECS, Docker, GraphQL]
+F U L L - S T A C K S O F TW A R E DE V E L O P E R – Axial Commerce - Austin, Texas – October 2017 – May 2018
+●    Developed and maintained an MVC structured web application with C# .NET Core backend and React.JS frontend, hosted in Azure
+●    Automated CI/CD pipelines for the website/API and apps to the Google Play Store and Apple App Store [Azure Pipelines]
+R O B O T I C S D E V E L O P M E N T E N GI NE E R – The Dow Chemical Company - Midland, Michigan – Dec 2015 - Oct 2017
+●    Developed .NET applications in C# to control and coordinate various types of hardware including robotic arms
+●    Wrote a custom database access layer for handling large, runtime-modified SQL tables from multiple systems
+●    Setup and Maintained automated CI/CD pipelines through TFS and VSTS for quickly and easily deploying code to robotic systems
+
+Education
+
+T H E UN I V E R S I TY O F T E XA S – Austin, Texas - 2011-2015
+●    Bachelors of Engineering: Mechanical Engineering
+

mock.pdf

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+#import "src/templates.typ": header, job, overview, resume, section
+#import "src/content.typ": education, header-data, overview-description, overview-items, work-experience
+
+#show: resume
+
+#header(
+  header-data.name,
+  header-data.title_exp,
+  header-data.email,
+  header-data.phone,
+  header-data.github,
+)
+
+#section("Overview")
+#overview(overview-items, overview-description)
+
+#section("Work Experience")
+
+#for job-data in work-experience [
+  #job(
+    job-data.title,
+    job-data.company,
+    job-data.location,
+    job-data.date,
+    job-data.tools,
+    job-data.bullets,
+  )
+]
+
+#section("Education")
+
+#for edu-data in education [
+  #job(
+    edu-data.title,
+    edu-data.company,
+    edu-data.location,
+    edu-data.date,
+    edu-data.tools,
+    edu-data.bullets,
+  )
+]