Brandon Le  

This web application features the number of people that were infected, recovered from, or died to COVID-19. The numbers are updated in real-time upon loading the site through an API.

You can view individual countries through a drop down menu.

In addition to this, the tracker also converts the numbers into a graph for an easier visual comparision.

BountyMail is developed using Python, Flask, SQLite, and docker containers.

The website allows users to post bounties with incriminating image files as well as demands.

People who are being blackmailed can remove the bounties by paying the bounty and it will automatically remove the post from the database.

Microblog is a Python back-end application that features similar microservices of Twitter. The microservices allows users to create an account, follow another user, post a message onto a timeline, and view a user's timeline.

Following RESTful API implementations, all APIs are implemented with appropriate JSON data formats, HTTP methods, URL endpoints, and HTTP status codes for each operation.

In Crossy Road, the objective is to survive as long as possible. The longer you survive, the more points you accrue towards your high-score.

There is only one level designed, but it is dynamic. As soon as you leave the starting point, your screen will move forward at a constant speed which will force you to progress forwards as well. New objects (cars, trucks, birds, grass, etc) will keep on generating randomly in front of you while any objects behind your screen will be destroyed.

All 3d-model assets are created from scratch using a lightweight voxel art editor MagicaVoxel.

To see more of the game's assets, you can ...

I've created a C++ compiler that is able to parse a custom programming language called Rat-19.

The design has three major components.

The first major component of this program features a Lexical Analyzer that returns a token when reading complete statements of Rat-19. Using Thompson's method, I implmented a finite state machine (FSM) table to hold the states and transitions of all the inputs. This allows the compiler to determine the transitions which interacts with the FSM and sets apart the tokens and lexemes.

The second major component features a Syntax Analyzer that uses a top-down parser. The program follows the given tokens, or Backus-Naur Form (BNF), generated from the Lexical Analyzer. It will enter multiple functions as it parses through and each function will print out the rules that were used.

The final major component of the compiler is the Symbol Table Handler. I designed this table to create three vectors to contain the symbols, instructions, and addresses. The data is generated during the syntax analyzing phase by push/popping the instructions when identifiers were analyzed. During this phase, assembly instructions were also being generated and saved.

SOS Precision is a commercial website built with Angular.js through a mobile first approach.

Following RESTful API implementations, all APIs are implemented with appropriate JSON data formats, HTTP methods, URL endpoints, and HTTP status codes for each operation.