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v2.1.14
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v2.1.13/f2
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115
Daniel Chen.typ
115
Daniel Chen.typ
@@ -27,22 +27,6 @@
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// MAIN CONTENT STARTS here
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= Education
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#indent[
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#work_entry(
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"University of Waterloo",
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"B.A.Sc. in Computer Engineering",
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start_date: "Sep 2022",
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end_date: "Apr 2027",
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location: "Waterloo, ON",
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tasks: (
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[Courses: Object-oriented programming, data structures & algorithms, digital
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computers & circuits],
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),
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)
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]
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= Skills
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#indent[
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@@ -50,7 +34,7 @@
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HTML, CSS, Dart \
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*Frameworks:* Node.js, Express, React, Next.js, Vue, Flutter, Qt, Prisma,
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Apollo, Axum, Jest, Pytest \
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*Tools:* Linux, Git, Docker, PostgreSQL, Redis, Kubernetes, AWS, GCP,
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*Tools:* Linux, Git, Docker, PostgreSQL, Redis, Kubernetes, AWS, GCP, Heroku,
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OpenTelemetry, GraphQL, Android
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]
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@@ -63,7 +47,7 @@
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"Dropbase",
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start_date: "May 2023",
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end_date: "Aug 2023",
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location: "San Francisco, CA",
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location: "Remote",
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tasks: (
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[Engineered a database-specific *SQL IDE autocompletion tool* via a heuristic
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algorithm to validate queries],
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@@ -85,11 +69,12 @@
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tasks: (
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[Streamlined registration by dynamically generating *user-specific Apple Wallet
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passes* over *Apollo GraphQL*],
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[Integrated backend *tracing* with *OpenTelemetry* and *Grafana* to monitor performance and trigger alerts],
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[Horizontally scaled the *Node.js* server to handle *1000+ concurrent users* with
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*Redis* and *Kubernetes*],
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[Automated judging scheduling by creating a *greedy algorithm* to match judges to
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project themes],
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[Integrated *OpenTelemetry* and Grafana in a *Kubernetes* cluster to collect
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traces and improve observability],
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),
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)
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]
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@@ -99,18 +84,38 @@
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#indent[
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#project(
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"Comic Converter",
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"https://github.com/potatoeggy/mandown",
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"Python, Qt",
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"RecipeReady",
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"https://devpost.com/software/recipeready-wk4bo9",
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"Flutter, Selenium, FastAPI, Android",
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)
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- Created a CLI and GUI to scrape, download, and convert webcomics into
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e-ink-optimised ebooks (EPUB, PDF)
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- Designed an *intermediate representation* to store metadata and images as a
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standardised conversion target
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- Implemented *image caching and multiprocessing* to increase download and update
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speeds by *300%*
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- Minimised regressions between release cycles by writing *unit and integration
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tests* with 55% code coverage
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- Developed a *Flutter app* to generate recipes based on ingredients and filters
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through a FastAPI server
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- Scraped thousands of websites for recipes to build a database with a robust
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*many-to-many tag system*
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- Aggregated common ingredients heuristically to build a shopping list and a meal
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plan for each week
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#project(
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"Genshin Simulator",
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"https://github.com/potatoeggy/primoprod",
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"Vue, TypeScript, Capacitor, Android",
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)
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- Built an realistic *cross-platform loot box simulator* with fluid animations
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based off a popular game
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- Reduced action latency by *90%* by lazily loading art assets at opportune times,
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such as during cutscenes
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#project(
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"Flashcard Generator",
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"https://github.com/potatoeggy/flashnote",
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"Java, Android",
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)
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- Created an Android app to generate study *flashcards from handwritten notes*
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using *Google Cloud*
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- Interfaced with GCP's Vision and NLP APIs to extract text and keywords from
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images with *Retrofit* and *Gson*
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- Isolated key terms with GCP's NLP API to convert declarative sentences into
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questions and answers
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#project(
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"Kobo Sync Server",
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@@ -122,27 +127,19 @@
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- *Reverse-engineered* the Kobo eReader Sync API to support updating ebook
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metadata and covers
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#project(
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"Genshin Simulator",
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"https://github.com/potatoeggy/primoprod",
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"Vue, TypeScript",
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)
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- Built an realistic and beautiful *loot box simulator* with fluid animations
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based off a popular game
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- Reduced action latency by *90%* by lazily loading art assets at opportune times,
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such as during cutscenes
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#project(
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"RecipeReady",
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"https://github.com/vincentjguo/recipeready-server",
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"Flutter, Selenium, FastAPI, Android",
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)
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- Developed a *Flutter app* to generate recipes based on ingredients and filters
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through a FastAPI server
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- Scraped thousands of websites for recipes to build a database with a robust
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*many-to-many tag system*
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- Aggregated common ingredients heuristically to build a shopping list and a meal
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plan for each week
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// #project(
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// "Comic Downloader & Converter",
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// "https://github.com/potatoeggy/mandown",
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// "Python, Qt",
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// )
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// - Created a CLI and GUI to scrape, download, and convert webcomics into
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// e-ink-optimised ebooks (EPUB, PDF)
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// - Designed an *intermediate representation* to store metadata and images as a
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// standardised conversion target
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// - Implemented *image caching and multiprocessing* to increase download and update
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// speeds by *300%*
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// - Minimised regressions between release cycles by writing *unit and integration
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// tests* with 55% code coverage
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// #project("Arch Linux Server", none, "Linux, nginx, systemd")
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// - Created a *self-hosted CI/CD pipeline* with *Gitea* to automatically deploy
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@@ -159,3 +156,19 @@
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StormHacks 2022 from 350+ participants
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- Winner of the #link("https://github.com/anyuan-chen/perdiem")[IBM Open Source] prize
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at YRHacks 2022 from 90+ participants
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= Education
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#indent[
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#work_entry(
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"University of Waterloo",
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"B.A.Sc. in Computer Engineering",
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start_date: "Sep 2022",
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end_date: "Apr 2027",
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location: "Waterloo, ON",
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tasks: (
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[Courses: Object-oriented programming, data structures & algorithms, digital
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computers & circuits],
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),
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)
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||||
]
|
4
lib.typ
4
lib.typ
@@ -9,7 +9,7 @@
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||||
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||||
#let BODY_FONT_SIZE = 10pt
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#let HEADING_FONT_SIZE = 1em
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#let TITLE_FONT_SIZE = 2.25em
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#let TITLE_FONT_SIZE = 2em
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#let HEADING_LINE_GAP = 3mm
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#let BODY_LINE_HEIGHT = 0.85em
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@@ -104,7 +104,7 @@
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let elements = for el in contact_data {
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(link(el.link)[#{ el.service + " " + el.display }],)
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}
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text(1em)[#elements.join(" | ")]
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text(1.1em)[#elements.join(" | ")]
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||||
}
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||||
}
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||||
]
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