CPR3: Created a website to help researchers find existing datasets using SalesForce Apex (similar to Java) and Lighting Web Components (Web Framework similar to Angular). Designed and deployed on SalesForce Experience Cloud. SalesForce Security: Created data models to backup SalesForce applications to HerokuContractKing: Met with customers to determine requirements of a new application update. Implemented new validations and fieldsPOC: Led AI efforts to integrate predictive analytics into SalesForce applications using Pandas and GPT-4 Tools Used: SalesForce (Apex, Lighting Web Components, Community) Heroku, VSCode, Jupyter Notebooks, Pandas, Python, Mule

Worked on Deep Learning Neural Networks (LENS) model. Tweaked and trained our model to make inferences of student ability based on prior and posterior distributions. Used KL-divergence to measure effect of models prediction of question X to question YTools Used: PyTorch, TensorFlow, Jupyter Notebooks, AWS SageMaker

Created an internal web application (Rojo) to automate the testing of a backend user provisioning system that has over 10,000 users. This allowed our team to stray away from mixing live and test data as well as create an unlimited amount of users.Built Rojo as a multi-module Gradle project with a React front-end and Spring Kotlin backend which was deployed to 3 different AWS environments (pull-request, staging, production)Focused on backend development, following the REST API format to implement CRUD requests so developers can send and receive data to in-house service. Implemented 5 SCIM schemas (standardized framework for sending and receiving user data)Tools Used: React, Spring Kotlin, AWS, SCIM, Gradle, Git, Jenkins, Docker

Learned PERN (PostgreSQL, Express, React, Node) Stack and completed 4 projects including group Capstone project. 3 Weekly projects: Flixster Clone using TMDB API (HTML, CSS, JS), Student Store (Express, React, Node), and LifeTracker Application (PERN).Capstone Project: Created a site to purchase movies and have a discussion forum where registered users (JWT) can create forums, threads, and posts to talk about their favorite movies or review movies. Technologies: PostgreSQL , Express, React, Node, HTML, CSS, JavaScript