feat: fill in points

Daniel Chen.typ

@@ -50,7 +50,7 @@
   *Languages:* Python, C/C++, VHDL, Verilog, MATLAB, Rust, Java, SQL, JavaScript,
   HTML, CSS \
   // Qt, Jest / Pytest, Apollo, Prisma, Rails
-  *Tools:* Linux, Git, PostgreSQL, Qt, STM32, Quartus, Tcl
+  *Tools:* Linux, Git, PostgreSQL, Qt, STM32, Quartus Prime, Valgrind, GDB
 ]
 
 = Projects
@@ -58,13 +58,17 @@
 
 #indent[
   #project("FPGA Diagnostic Tool", "C, Verilog, Tcl")
-  - lab 1
-  - point 2
-  - Tcl script
+  - Assembled various IP cores in Quartus and Verilog to create a diagnostic tool
+    for an FPGA board with Tcl scripts
+  - Developed a C program to communicate with the FPGA over UART and display
+    diagnostic information
 
   #project("PNG Validator", "C")
-  - lab 1
-  - valgrind
+  - Created a PNG file validator to find common errors and corruption by checking
+    metadata and computing CRCs
+  // memory safety w/Valgrind
+  - Ran tests behind Valgrind to ensure memory safety, prevent memory leaks, and
+    maintain accuracy
 
   #project(
     "Box Box Revolution",
@@ -76,7 +80,7 @@
   - Developed firmware to measure from an ultrasonic sensor, tone a buzzer, and show
     scrolling notes on an LCD
 
-  #project("Climate Controller", "VHDL, ARM Assembly")
+  #project("Climate Controller", "ARM Assembly, VHDL")
   - Programmed an FPGA to heat/cool a theoretical room to a target temperature given
     switch-controlled inputs
   - Added conditions such as avoiding changes if windows are open, vacation mode,
@@ -178,10 +182,9 @@
       [Owned and launched a HubSpot/Airtable to Google Sheets sync feature to *46000+
         enterprise users* by writing AWS Lambda functions in Python, abstracting
         interfaces to easily support future sources],
-      [Designed a conflict resolution algorithm for merging databases, *reducing
-        unrecoverable errors by 75%*],
-      [Developed a *serverless microservice* that asynchronously ingests email
-        attachments directly into ETL pipelines],
+      [Wrote and deployed a new *React* data query builder for our business
+        intelligence visualisation service to *33000+ users*, eliminating the need for
+        clients to manually write API calls or Python code],
       // [??? emphasise test driven development or remove line *Reduced request errors by 30%* by creating backend testing infrastructure with
       //   *Pytest* to catch regressions and test new features across database engines with
       //   *90% code coverage*],