Paul Kloppers

Languages

• English - Fluent
• Afrikaans - Native
• German - Basic

Key Interests and Skills

• Machine Learning
• Embedded Systems Development
• Software Development
• Digital Electronics
• Data Analysis
• Linux Servers
• Quick to adapt to and learn new technologies

Education

• Continuous top 10 academic achiever throughout high school

Short Courses

Experience

• General software engineering and codebase maintenance

• Demonstrated the practical application of digital fundamentals to first-year students
• Assisted students with understanding the theory and practical aspects of digital electronics
• Graded assignments and provided feedback to students
• Aided in curriculum choices and development

Projects

• Aided with development, working together in a team to develop the application
• Published and live on both the Google Play Store and the Apple App Store

• Maintain SPOTBOT, a published mobile app available on both the Google Play Store and the Apple App Store
• Migrated the SPOTBOT codebase from a vanilla JavaScript project to a React TypeScript project

• Developed full-fledged custom software for the business administration of a guest house
• Reference can be provided upon request

• Developed a machine learning model and software platform to identify and detect check marks on graded exam papers, reducing the time taken to enter marks into the database by hand
• The model achieved an accuracy of 98% on the test set
• The software platform has a user-friendly interface, and feedback to the model is used to improve its accuracy
• Developed with Python, PyTorch, Streamlit and PostgreSQL

With this project, I was awarded best software project in the School of Electrical, Electronic and Computer Engineering (SEECE) of 2024.

Public Repositories

• Token voting for organisations: an organiser sets up a ballot, hands each voter a six-digit PIN and opens one question at a time; results publish themselves
• Static React and TypeScript client with every voting rule enforced in PostgreSQL
• github.com/PJKloppers/VotingStation vote.paulkloppers.co.za

• Native macOS WhatsApp client: a SwiftUI interface on a Go engine built on whatsmeow, linked into a single binary
• github.com/PJKloppers/WhatsappUI

Technologies

Languages: C++, C, Python, SQL, JavaScript, TypeScript, HTML and CSS, VB.NET, MATLAB
Still Acquiring: Swift

Technologies: Qt Framework, PyQt, PyTorch, TensorFlow, Scikit-learn, Flask, Node.js, Node-RED, OpenCV, Matplotlib, Pandas, NumPy, Bootstrap 5, React, Supabase (basics)

Tools: Docker, Git, Nginx, Apache, Postman, MQTT Communication, MATLAB, Claude Code

Operating Systems: Windows, Linux, macOS

Databases: PostgreSQL, MySQL, SQLite

Embedded Platform Development: Arduino, Raspberry Pi, ESP32, ESP8266, STM32, Texas Instruments - PIC, SIEMENS PLC

Engineering Related Software: LTspice, MATLAB, Simulink, SIEMENS NX, FEMM, KiCad, SIEMENS PLC, TIA Portal

Other General Software: Microsoft Office, Adobe Photoshop, Adobe Premiere Pro, Adobe Audition

My Mission

I am passionate about Computer & Electronic Engineering and Machine Learning. I believe technology can solve many global problems, especially in healthcare. My goal is to contribute to Machine Learning advancements to make healthcare more affordable and accessible, ultimately making a positive impact on the world.

My objective is to excel in the field of Machine Learning, pursuing both a Master's and a PhD. I aspire to inspire and mentor the next generation of Computer Science and Engineering enthusiasts, helping them achieve their full potential and make meaningful contributions to the field.

Full CV (PDF)

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