Jay Patel
EducationB.S. Computer Science, NC State
GPA: 3.44/4.0 Major GPA: 3.77/4.0
SkillsProgramming Languages: Python, HTML/CSS, JavaScript, Java, C, Swift, SQL
Frameworks/Technologies: Node.js, Firebase, Git, GCP, AWS, Azure, JSON, Firebase, ReactJS, JSON
ExperienceTown of Cary – Software Engineer Intern
Working on developing programs and solutions for the Smart City initiative project
Developing programs to decode and integrate sensory data with various cloud platforms such as GCP, AWS and Azure
Using GCP and AWS to update the Google and Alexa voice assistants with new features of the Town of Cary
Signet Jewelers – Data Analyst Intern
Working on 3-D rendering jewelry products to create realistic visualizations for customers to view on the online markets of Signet Jeweler’s clients
Enables users to visualize the Personalization they would like on the jewelry and create a reference imagery of the configured product
ProjectsBase64 Decoder
Decoder developed for Downtown Cary Park, decodes the data to binary, then parses the binary through each sensor’s individual parser to convert the binary to English then stores the data in Azure for other applications to use
Developing this program using node.js and binary conversion algorithms to decode the Base64 sensory data
Stock Prediction Web Application
A custom-made stock forecasting web app made to provide investors with a forecast of a stock’s trend in a given time frame
This web app was made through Python using the streamlit, plotly, Prophet and yfinance libraries
Issue Manager
Provides an overview of all bugs and enhancements in a project or application and implements an FSM which allows the user to edit and update the issues accordingly
This project was developed using Java through the use of a singleton
Stock Monitor
Created an automated monitor that notifies the user when a certain item of their choice is in stock
Compares available items in Walmart and Amazon and presents the user with the item from the website with the best pricing
Developed using ReactJS as the frontend and NodeJS as the backend
Connected Cary Voice Assistant Devices
Developed using AWS and GCP with node.js to create the home programs for Alexa and Google home devices
Allows the residents of Cary to have direct access to information about the town to things such as gym times, trash pickup days based on the user’s location, holiday days and gov’t information through the use of their respective APIs
*******@****.***
https://www.linkedin.com/in/jaypatel2aa51b17
2020-2024
Aug 2021- present
May 2022 – Aug 2022