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tjwielem/README.md

Hi there πŸ‘‹, I'm Tom Wielemaker

I'm a Mechatronics Engineering student at the University of Waterloo with a passion for robotics and machine learning. Here are a few of my key experiences:

πŸš— Current Machine Learning Perception Intern at Potential Motors where we are working on AI-powered terrain perception software.

🏎️ Current Student Researcher at University of Waterloo, where I'm researching the use of neural rendering algorithms to enhance vehicles/robots' dynamic scene understanding

🧬 Previous Machine Learning Bioinformatics Research Intern at Canada's National Microbiology Laboratory, where I experimented with various machine learning classifiers (especially hierarchical classifiers) to determine the geographic source location of Salmonella isolates.

πŸ“ƒ Previous NLP Deep Learning Research Intern at Canada's National Microbiology Laboratory, where I built a Large Language Model system for researchers to query scientific articles about Enteric Diseases.

πŸ€– Previous Robotics Software Research Assistant the University of New Brunswick's Robotics and Mechanisms Labortory, where I worked on embedded software to transfer data under UART protocal, control motors with motor drivers, and efficienty read various sensors using direct port manipulation and ISRs

Feel free to contact me on Linkedin:

LinkedIn Badge

Here are some of the main languages and tools I have experience with:

TensorFlow PyTorch ROS C C++ Python Docker Scikit Learn R NumPy Java

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  1. Neural-Network-From-Scratch Neural-Network-From-Scratch Public

    Two Layer Neural Network for Handwritten DIgit Classification (MNIST Dataset) using only NumPy, Python and a little bit of Pandas

    Jupyter Notebook