Hi, I'm Kelsey Horace-Herron.
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Self-driven, passionate computer engineer with a curious mind who enjoys solving complex and challenging real-world problems.
About
I am a Ph.D student majoring in computer engineering at the University of Florida. I enjoy creating IoT designs and applications. Always strive to bring 100% to the work I do. I have worked on technologies like Python, C++, MATLAB, and SOLIDWORKS during my academic career. I have experience working in research laboratoires such as the Air Force Research Laboratory (AFRL) and UC Berkeley's Marvell Nanofabrication Laboratory. These opportunities have helped me further my knowledge and gain skills that are vaulable to the workforce. I am passionate about developing complex applications and devices that solve real-world problems impacting millions of users/consumers.
- Languages: Python, MATLAB, C++, HTML
Looking for an opportunity to work in a challenging position combining my skills in Computer Engineering, which provides professional development, interesting experiences and personal growth.
Experience
- Assisted with research for Drone Navigation using Machine Learning and sonar. Worked in MATLAB and Jupyter Notebook.
- Applied Linear Regression to analyze leaf audio using NumPy, got 70% accuracy.
- Managed and formatted dataset of <20000 data samples.
- Developed skills in formal presentation, data analysis, and research methodologies.
- Tools: Python, MATLAB
- Worked with map-reduce frameworks to perform intensive offline calculations across large amounts of data.
- Wrote services to train machine learning models from stored data and provide real-time scoring to client services.
- Provided a web-based interface to give high-level control over the machine-learning system to non-technical users.
- Updated and rewrote old code to reduce technical debt and improve service performance, scalability, and reliability.
- Tools: Python
- Utilized portable Near Infrared Region (NIR) Spectroscopy application to detect harmful ingredients in vegetables
- Found frequency to detect harmful substances using NIR spectroscopy in everyday prodcuts such as toothpaste
- Tools: Near Infrared Region (NIR) Spectroscopy, MATLAB
- Formed a SF6 and O2 anisotropic etch recipe on a 65nm node chip to release moveable beam in UC-Berkeley nanofabrication laboratory.
- Collected images of 65nm node chip after etching process using a scanning electron microscope (SEM) machine.
- Tools: SEM, Vacuum Probe Station, etching
Skills
Languages and Databases
Python
HTML5
C++
MATLAB
Shell Script
Education
Gainesville, USA
Degree: Master of Science in Computer Engineering
CGPA: 3.3/4.0
- Fundamentals of Machine Learning
- Pattern Recognition
- Iot Design
- Intro to Hardware Security/Trust
Relevant Courseworks:
Jackson, USA
Degree: Bachelor of Science in Computer Engineering
CGPA: 3.5/4.0
- Data Structures and Algorithms
- Signals and Systems
- Operating Systems
- Computer Organization and Design
- Electronics
- Synethesis with Hardware DL
Relevant Courseworks: