Outreach and fellowship are very important principles in the Christian community. Thus, many churches and communities create small groups in order to share and study the gospel as well as to provide brother/sisterhood in the church community. Part of this fellowship involves meeting many different people. However, it can be difficult for people to meet new people in a community, and it also can be difficult for church leaders to assign groups on a weekly basis while encouraging outreach and meeting new people. This is exactly what out project aims to solve. Using a directed graph, we can define a relationship between a set of people as a person visiting another's house. The nodes of this graph would be the people, and the directed edges indicate who has visited whose house. In order to establish a set of hosts, we switch up the hosts each week in order for every person to be able to eventually visit everyone's houses. We also use various queues to assign people to fill into various houses if they already have visited all of the hosts, or if all of the groups are filled up and there are leftover people.

Google’s Do-it-yourself artificial intelligence kits, also known as AIY allow you to create and program devices using concepts from AI such as Computer Vision, Speech Detection or Natural Language Processing. Here I demonstrate my project, built on AIY, that provides a shopping bot. I tell it what I want to buy, and it will find matching products on eBay, emailing me the results, so I can see if there’s anything I like!

Mameon is a startup business from the Stanford Startup Garage class and Startup Venture Studio that I had the opportunity to work on. Mameon's purpose is to sell inexpensive advertisements to other startup businesses so that these startup businesses have an opportunity to share their stories. Rather than having to spend thousands of dollars on an advertisement, Mameon allows its customers to create customizable advertisements through its unique scripting process. This allows small businesses to create an advertisement that tells their own story, rather than having another company create the story for them.

I did extensive programming in Python to create notebooks to help students learn how to use Artificial Intelligence in healthcare diagnosis. This was to support the specialization taught by Andrew Ng and some of my other colleagues at deeplearning.ai

Steganography is the art of hiding data in images. While studying JavaScript through Duke Univerisity's Programming Foundations Course on Coursera, I built a system that uses JavaScript to hide one image inside another.

dashboard application in react js to track job apps

My Leetcode practice online

A sample question to test API design and testing

Course work from LLM Ops in Practice course from LinkedIn Learning

ai and ml practice problems

Cracking the Coding Interview book practice by Gale Laakmaan McDowell

A collection of examples using langchain and openai

Modern Application Development with React, AWS, and GraphQL by Nader Dabit

Advent of Code 2023 challenge

a repo containing all TensorFlow practice models and projects

An example of using NLP

programming a game that includes graphics

A variety of different apps and projects created

This is the perfect place to summarize my experiences as a programmer. This repo is a summary of all Projects that I have created and showcased in video format.

My work created during my time at deeplearning.ai in Palo Alto, CA.

Demos using Angular and React

Machine Learning of Waffles vs Pancakes using Convolutional Neural Network

My Works from Seattle Pacific University

My Works from Bellevue College

Games and projects made on CodeGym

My exercises and work from the AI Tensorflow Course from Coursera taught by Laurence Moroney

General Miscellaneous Code

HTML, CSS, and JavaScript Course that I took on Coursera, taught by Duke University