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Achievement: YOLOAchievement: Pull Shark

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Keegz-dz/README.md
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About Terminal Banner


I build machine learning systems with a focus on representation learning, computer vision, and applied deep learning. Currently pursuing a Master of Artificial Intelligence at Monash University after completing a Bachelor of Engineering in Artificial Intelligence and Machine Learning.
My work centres on taking research-grade techniques and turning them into reproducible, deployable systems.

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I am open to graduate and entry-level Machine Learning Engineer roles, research collaborations, and conversations about applied AI problems.
Email is the fastest channel.

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  1. SpeakEmbed-T SpeakEmbed-T Public

    A research toolkit for extracting speaker identity from audio using a custom-trained Transformer encoder for voice cloning and speaker diarisation.

    Jupyter Notebook 1 1

  2. NL2ECF-SRCNN-with-VW-Blending-and-KS-Refinement NL2ECF-SRCNN-with-VW-Blending-and-KS-Refinement Public

    A deep learning tool that sharpens and upscales blurry, low-resolution images using a custom-trained convolutional neural network with intelligent post-processing.

    Python 1

  3. Genetic-Optimisation-Framework-for-Pixel-Precise-Image-Reconstruction Genetic-Optimisation-Framework-for-Pixel-Precise-Image-Reconstruction Public

    A genetic algorithm that reconstructs images pixel by pixel through evolution — no gradient descent, no neural networks.

    Python 1

  4. TensorTonic-Solutions TensorTonic-Solutions Public

    This repository contains my solutions to problems from TensorTonic, shared openly to benefit the broader machine learning community.