feat: stronger points

Daniel Chen.typ

@@ -30,10 +30,12 @@
 = Skills
 
 #indent[
-  *Languages:* Python, TypeScript/JavaScript, Rust, SQL, MATLAB, C++, Java, HTML, CSS \
+  *Languages:* Python, TypeScript, JavaScript, Rust, SQL, MATLAB, C, C++, Java,
-  *Frameworks:* Node.js, Express, React, Next.js, Vue, Flutter, Qt, Prisma, Apollo, Axum \
+  HTML, CSS, Dart \
+  *Frameworks:* Node.js, Express, React, Next.js, Vue, Flutter, Qt, Prisma,
+  Apollo, Axum, Jest, Pytest \
   *Tools:* Linux, Git, Docker, PostgreSQL, Redis, Kubernetes, AWS, GCP, Heroku,
-  OpenTelemetry, GraphQL
+  OpenTelemetry, GraphQL, Webpack
 ]
 
 = Experience
@@ -47,11 +49,14 @@
     end_date: "Aug 2023",
     location: "Remote",
     tasks: (
-      [Developed a *FastAPI backend* to sync HubSpot and Airtable data with Google
+      [Engineered a database-specific *SQL IDE autocompletion tool* via a heuristic
-        Sheets via *AWS Lambda*],
+        algorithm to validate queries],
-      [Engineered a *heuristic algorithm* to validate SQL queries against databases for better IDE auto-completion],
+      [Developed a service to sync HubSpot and Airtable data with Google Sheets via
-      [Constructed dynamic web forms in *React* by generating elements on demand based on user responses],
+        *AWS Lambda*],
-      [Created testing infrastructure for the backend with *Pytest* to catch regressions across database engines],
+      [Constructed dynamic forms in *react-hook-form* by generating questions from the
+        backend on-the-fly],
+      [Created testing infrastructure for the backend with *Pytest* to catch
+        regressions across database engines],
     ),
   )
 
@@ -62,12 +67,12 @@
     end_date: "present",
     location: "Waterloo, ON",
     tasks: (
-      [Dynamically generated user-specific Apple Wallet passes over *Apollo GraphQL*
+      [Streamlined registration by dynamically generating *user-specific Apple Wallet
-        Server to streamline check-in],
+        passes* over *Apollo GraphQL*],
       [Horizontally scaled the *Node.js* server to handle *1000+ concurrent users* with
         *Redis* and *Kubernetes*],
-      [Designed a greedy algorithm in Python to match *20+ judges*
+      [Automated judging scheduling by creating a *greedy algorithm* to match judges to
-        to *240+ hacker teams* based on their themes],
+        project themes],
       [Integrated *OpenTelemetry* and Grafana in a *Kubernetes* cluster to collect
         traces and improve observability],
     ),
@@ -79,7 +84,7 @@
 
 #indent[
   #project(
-    "Mandown",
+    "Comic Downloader & Converter",
     "https://github.com/potatoeggy/mandown",
     "Python, Qt",
   )
@@ -92,19 +97,25 @@
   - Minimised regressions between release cycles by writing *unit and integration
     tests* with 55% code coverage
 
-  #project("Kobink", "https://github.com/potatoeggy/kobink", "Rust, Axum")
+  #project(
-  - Developed an Axum backend to *automatically convert and sync* ebooks to a Kobo eReader
+    "Kobo Sync Server",
-    over the network
+    "https://github.com/potatoeggy/kobink",
-  - Reverse-engineered the Kobo eReader Sync protocol to support updating ebook metadata and covers
+    "Rust, Axum",
+  )
+  - Developed an Axum backend to *automatically convert and sync* ebooks to a Kobo
+    eReader over the network
+  - *Reverse-engineered* the Kobo eReader Sync API to support updating ebook
+    metadata and covers
 
   #project(
-    "Primoprod",
+    "Genshin Simulator",
     "https://github.com/potatoeggy/primoprod",
     "Vue, TypeScript",
   )
-  - Built an interactive, realistic, and beautiful game simulator with fluid
+  - Built an realistic and beautiful *loot box simulator* with fluid animations
-    animations based off a popular game
+    based off a popular game
-  - Reduced action latency by *90%* by lazily loading art assets at opportune times, such as during cutscenes
+  - Reduced action latency by *90%* by lazily loading art assets at opportune times,
+    such as during cutscenes
 
   #project(
     "RecipeReady",