254 lines
7.3 KiB
YAML
254 lines
7.3 KiB
YAML
cv:
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name: Evan Scamehorn
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location: Madison, WI
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email: ejscam2@gmail.com
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phone: +1-630-450-3546
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website: https://ejs.cam
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social_networks:
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- network: LinkedIn
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username: evan-scamehorn-b66a4226a
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- network: GitHub
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username: evan203
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sections:
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education:
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- institution: University of Wisconsin - Madison
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area: Computer Science
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degree: BS
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date:
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start_date: 2024-08
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end_date: 2028-05
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location: Madison, WI
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summary:
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highlights:
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- 'GPA: 3.913'
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- 'Courses: Artificial Intelligence, Linear Algebra, Computer Graphics'
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- 'Certificates in Mathematics and Data Science'
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experience:
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- company: Ruddervirt
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position: Software Engineer
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date:
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start_date: 2024-05
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end_date: 2024-08
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location: Naperville, IL
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summary:
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highlights:
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- Refactored product deployment infrastructure using Kubernetes.
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- Designed secure virtual machine networking and deployment backend using Python.
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- Integrated backend virtual machine platform with web development team.
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- Developed custom virtual machine images using Packer and Ansible.
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- Integrated Git with CI/CD pipeline for code versioning and deployment to AWS.
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- company: Eigenvector
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position: Software Engineer Intern
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date:
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start_date: 2023-05
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end_date: 2023-09
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location: Naperville, IL
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summary:
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highlights:
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- Designed and implemented tooling to automate creation, conversion, and management of virtual machine images using Python and Bash.
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- Refactored python codebase from using VirtualBox to Libvirt/KVM to create and run virtual machines.
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- Presented design research and decisions and collaborated with a mentor.
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- Tracked code versioning and deployment using Git.
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- Developed and deployed on Ubuntu servers leveraging Terraform for AWS.
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projects:
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- name: '[City Transit Simulator](https://evan203.github.io/city-sim)'
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date:
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start_date: 2025-11
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end_date: present
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location:
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summary: A web application for modeling ridership of public transit networks
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highlights:
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- Uses Open Street Map data of US cities processed using Python
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- Interactively view city scapes in 3D using Three.js
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- Plan, construct, and manage transit routes
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- Simulate ridership and plan with simulated economy
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skills:
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- label: Programming Languages
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details: Proficient with Python, Bash, and Java
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- label: Programming Tools
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details: Experience using PyTorch, Git, DevOps, Kubernetes, and Docker
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- label: Mathematics
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details: Good understanding of calculus, linear algebra, statistics, and discrete math
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design:
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theme: sb2nov
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# page:
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# size: us-letter
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# top_margin: 0.7in
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# bottom_margin: 0.7in
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# left_margin: 0.7in
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# right_margin: 0.7in
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# show_footer: true
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# show_top_note: true
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# colors:
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# body: rgb(0, 0, 0)
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# name: rgb(0, 0, 0)
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# headline: rgb(0, 0, 0)
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# connections: rgb(0, 0, 0)
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# section_titles: rgb(0, 0, 0)
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# links: rgb(0, 0, 0)
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# footer: rgb(128, 128, 128)
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# top_note: rgb(128, 128, 128)
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# typography:
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# line_spacing: 0.6em
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# alignment: justified
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# date_and_location_column_alignment: right
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# font_family:
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# body: New Computer Modern
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# name: New Computer Modern
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# headline: New Computer Modern
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# connections: New Computer Modern
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# section_titles: New Computer Modern
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# font_size:
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# body: 10pt
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# name: 30pt
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# headline: 10pt
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# connections: 10pt
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# section_titles: 1.4em
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# small_caps:
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# name: false
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# headline: false
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# connections: false
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# section_titles: false
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# bold:
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# name: true
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# headline: false
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# connections: false
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# section_titles: true
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# links:
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# underline: true
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# show_external_link_icon: false
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# header:
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# alignment: center
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# photo_width: 3.5cm
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# photo_position: left
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# photo_space_left: 0.4cm
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# photo_space_right: 0.4cm
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# space_below_name: 0.7cm
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# space_below_headline: 0.7cm
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# space_below_connections: 0.7cm
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# connections:
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# phone_number_format: national
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# hyperlink: true
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# show_icons: false
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# display_urls_instead_of_usernames: true
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# separator: •
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# space_between_connections: 0.5cm
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# section_titles:
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# type: with_full_line
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# line_thickness: 0.5pt
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# space_above: 0.5cm
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# space_below: 0.3cm
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# sections:
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# allow_page_break: true
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# space_between_regular_entries: 1.2em
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# space_between_text_based_entries: 0.3em
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# show_time_spans_in: []
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# entries:
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# date_and_location_width: 4.15cm
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# side_space: 0.2cm
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# space_between_columns: 0.1cm
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# allow_page_break: false
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# short_second_row: false
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# summary:
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# space_above: 0cm
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# space_left: 0cm
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# highlights:
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# bullet: ◦
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# nested_bullet: ◦
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# space_left: 0.15cm
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# space_above: 0cm
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# space_between_items: 0cm
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# space_between_bullet_and_text: 0.5em
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# templates:
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# footer: '*NAME -- PAGE_NUMBER/TOTAL_PAGES*'
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# top_note: '*LAST_UPDATED CURRENT_DATE*'
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# single_date: MONTH_ABBREVIATION YEAR
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# date_range: START_DATE – END_DATE
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# time_span: HOW_MANY_YEARS YEARS HOW_MANY_MONTHS MONTHS
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# one_line_entry:
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# main_column: '**LABEL:** DETAILS'
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# education_entry:
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# main_column: |-
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# **INSTITUTION**
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# *DEGREE* *in* *AREA*
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# SUMMARY
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# HIGHLIGHTS
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# degree_column:
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# date_and_location_column: |-
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# *LOCATION*
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# *DATE*
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# normal_entry:
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# main_column: |-
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# **NAME**
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# SUMMARY
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# HIGHLIGHTS
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# date_and_location_column: |-
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# *LOCATION*
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# *DATE*
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# experience_entry:
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# main_column: |-
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# **POSITION**
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# *COMPANY*
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# SUMMARY
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# HIGHLIGHTS
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# date_and_location_column: |-
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# *LOCATION*
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# *DATE*
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# publication_entry:
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# main_column: |-
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# **TITLE**
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# SUMMARY
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# AUTHORS
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# URL (JOURNAL)
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# date_and_location_column: DATE
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locale:
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language: english
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# last_updated: Last updated in
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# month: month
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# months: months
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# year: year
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# years: years
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# present: present
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# month_abbreviations:
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# - Jan
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# - Feb
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# - Mar
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# - Apr
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# - May
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# - June
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# - July
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# - Aug
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# - Sept
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# - Oct
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# - Nov
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# - Dec
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# month_names:
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# - January
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# - February
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# - March
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# - April
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# - May
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# - June
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# - July
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# - August
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# - September
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# - October
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# - November
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# - December
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settings:
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current_date: '2025-12-22'
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render_command:
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design:
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locale:
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typst_path: rendercv_output/Evan_Scamehorn_Resume.typ
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pdf_path: rendercv_output/Evan_Scamehorn_Resume.pdf
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markdown_path: rendercv_output/Evan_Scamehorn_Resume.md
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html_path: rendercv_output/Evan_Scamehorn_Resume.html
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png_path: rendercv_output/Evan_Scamehorn_Resume.png
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dont_generate_markdown: true
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dont_generate_html: true
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dont_generate_typst: false
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dont_generate_pdf: false
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dont_generate_png: true
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bold_keywords: []
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