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

adrgu5@r.postjobfree.com

919-***-****

https://www.linkedin.com/in/jaypatel2aa51b17

2020-2024

Aug 2021- present

May 2022 – Aug 2022

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