Kallistah J. Allen

• Worked in team-driven environments and communicated effectively with stakeholders.
• Reviewed project specifications and designed technology solutions that met or exceeded performance expectations.
• Installed and configured software applications and tested solutions for functionality.
• Contributed ideas and suggestions in team meetings and delivered updates on deadlines, designs, and enhancements.
• Corrected, modified and upgraded software to improve performance.
• Authored code fixes and enhancements for inclusion in future code releases and patches.
• Tested and deployed scalable and highly available software products.
• Tested functional compliance of company products.
• Conducted data modeling, performance and integration testing.
• Tested troubleshooting methods and documented resolutions for inclusion in knowledge base for support team use.

TECHNICAL PROJECTS

Senior Project: Robotic Cart September 2020 – May 2021

• Project Goal: design a robotic cart that follows a customer without the use of line of sight (LoS) sensors
• Utilized X-Bee radio frequency modules for communication between the remote on the user and the robotic cart
• Designed a parabolic reflector array to capture the signals from the X-Bee on the remote
• BeagleBone Blue was used as the brain of the robotic cart and we chose to use C language for the code

Individual Raspberry Pi Analysis 2020

• Goal: to understand the functions of Raspberry Pi and incorporate into Fall 2020 senior capstone project focusing on machine learning and artificial intelligence
• Developing functional Python and C code for programming on the Raspberry Pi board
• Learned to interface with PuTTY to enable the UART ports on the Raspberry Pi
• Ran laboratory tasks to learn how to code LEDs, keyboards, timers, and sensors (i.e., speaker system)

ECE 467 – Mobile Robotics Laboratory: Mobile Robotics Group Project Spring 2020

• Utilized three important processes in the field of mobile robotics using the Pioneer P3-DX robot. The project formulated C++ and MATLAB codes to maneuver the robot to predetermined waypoints, avoid obstacles with the Braitenberg obstacle avoidance strategy, and use vision sensors to visualize the robot moving in a virtual plane
• Optimized and compressed CoppeliaSim video to be faster for virtual demonstration of the robot implementing the Braitenberg obstacle avoidance and waypoint navigation strategy
• Presented virtually via Zoom

ECE 301 – Discrete Time Signals and Systems: Biomedical Signal Processing using QRS Detection Fall 2019

• The project detected QRS complexes in real-time electrocardiogram (ECG) using Pan-Tompkins algorithms
• Utilized QRS detection method for a multitude of filters to detect the slope, width, and amplitude
• Achieved goal of no false positive detections in QRS complexes

Project Lead the Way (PLTW) LED Skateboard Project 2017

• Created a LED circuit design on a skateboard using resistors, LED’s, and a battery pack so that a skateboarder could be seen by motorists and pedestrians