I am a Machine Learning Engineer specializing in generative models for audio and computer vision. I hold a Master’s degree in Computer Science, where my thesis focused on applying generative models to subsurface imaging.

• Python
• PyTorch
• Lightning
• TensorFlow
• Keras
• Scikit Learn
• Numpy

• Generative Models (Diffusion, GAN, VAE, Flow)
• Self-Supervised Learning
• Classification
• Regression
• Clustering

Generative models in Computer Vision, with a focus on Lipsync and Video editing.

I enjoy reading papers and keeping up with the latest ML/AI trends. In addition, I lean toward growth in software engineering and spend free time onLeetCode

I am always open to collaborate on research and open source projects.

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1. spokestack/spokestack-pythonspokestack/spokestack-pythonPublic archive

   Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

   Python 139 14

2. gpr-gymgpr-gymPublic

   An example of how to automate the process of training data generation through gprMax for use in machine learning models.

   Jupyter Notebook 24 3

3. huggingface/transformershuggingface/transformersPublic

   🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

   Python 142k 28.4k

4. denoisersdenoisersPublic

   Simple PyTorch Denoisers for Waveform Audio

   Python 35 1

5. super-resolutionsuper-resolutionPublic

   Training framework for super resolution models

   Python 4 1

6. templatetemplatePublic template

   A general template for machine learning projects.

   Python