Kenneth Lasseter

Background

Analytically-driven software engineer with BS in computer science from UCF and 6+ years of experience programming in Java, Python, and full-stack projects. Able to learn quickly and dedicated to delivering optimal software.

My interest in technology started at the age of 10 when I first began tinkering with the software of an iPod Touch. I discovered that with the right software, I could do things that none of my classmates could do. When I started playing computer games in middle school, my interest only grew, wanting to know how this machine in my lap was able to create whole new worlds for me to explore. I built my first computer in 8th grade, and have continued building them for friends and family to this day. By the time I entered high school I was set on having a tech-based career. I started programming with Java in 9th grade and have been completely hooked ever since.

Work Experience

FedEx Services
September 2022 – Present
Software Engineer I

• Working on an Agile team to continuously deliver optimal Customer Relationship Management software using Salesforce, tailored to the requirements of FedEx's Customer Technology Consultants.
• Overhauled a legacy web application using modern technology, including Spring and load balancing. The application is utilized by Customer Technology Consultants to monitor vast quantities of shipment data generated by customers who use FedEx's shipping solutions.
• Maintaining a Spring application that syncs data across multiple databases and Salesforce. This application receives a high number of transactions regarding the statuses of hardware and software that have been installed with customers and makes use of JMS queues to update this data in Salesforce in nearly real-time.

Dough Zone, Orlando
February 2022 – Present
Consultant Full-stack Developer

• Developing data labeling tools using React. The tools are used by labelers working with road survey images to train a machine-learning model to detect road damage and assist with road maintenance. The tools are backed by a Django web server running Nginx and Gunicorn to ensure scalability. The web server also provides additional functionalities to the tool, such as ML-powered preprocessing of the images.

Museum of Discovery and Science, Fort Lauderdale
October 2015 – May 2017
Intern

• Designed and developed mobile applications to assist visitors in acquiring information about exhibits.

Projects

Facility Inspection and Management Web Application
Dough Zone
September 2022 – Present

• Developing a web application with Dough Zone for the inspection and management of hazardous or explosive facilities. The application is a Vue single page application with an Express (Loopback 4) backend for the purposes of facility inspectors and management to log inspection reports and keep track of real-time data using a Digital Twin.

Augmented Reality Device
Personal Project
Fall 2022

• Using a Raspberry Pi Pico and a micro LCD, I developed a simple augmented reality heads-up display. Getting the weather and green ball (which I was using to test animation) to show on the LCD was a simple bit of coding, however, understanding the physics behind a near-eye display was a different matter. I ended up taking inspiration from other AR devices currently on the market, but did a bit of tweaking for this prototype. The polarizing film allows light from the display to pass through the acrylic to the curved mirror, but its reflection is caught and directed back into the user's eye. The curved mirror was necessary to project the image outwards, allowing it to be far enough away for the user's eye to focus on.

Florida Roadkill and Road Safety Application
UCF i-CORPS
January 2022 – August 2022

• Researched, in collaboration with Dough Zone, the possibility of a routing application with voice features that allow drivers to report road problems. Data collected, such as road damage and obstructions, could be sent to the proper authorities.

Circle of Trust
UCF STIR Labs
Summer/Fall 2021

• Improved a trust-focused parental monitoring system which aims to protect teens while still allowing them to have discretion in what is monitored. Used several APIs including AWS Rekognition, Comprehend, and Microsoft Azure, and created an algorithm for flagging text messages considered risky. The application is Android based and uses a server hosted on AWS for the processing of messages.