I am currently working on a Deep Learing research project wherein we take some spectroscopy data from satalites, and are tasked with predicting the surface temperature, surface gravity, and iron content of a given star!
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Wrote an arbitrarily deep neural network from scratch in python using on Numpy arrays!
- This project gave me a profoundly deep understanding of the ways that neural networks propagate signal and optimize to a loss function!
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Wrote a Machine Learning pipeline for taking a term frequency vector of an Amazon Review and predicting the star review given.
- This was a super fun project because the limitation of term frequency vectors made it so that I had to creatively use exclusively Machine Learning techniques and couldn't just crutch on Deep Learning to auto solve the problem for me!
- I ended up using an Ensemble based architecture of ResNets to best approximate the solotion!
- I am super into Machine Learning / Deep Learning / AI
- Reinforcement Learning
- Natural Language Processing
- I love nature!
- I love hiking, camping, ocean swimming, and starry night skies!
- I love cars!
- I have built a 1969 Chevrolet El Camino!
- I love drag racing!
- I also love interactive art!
- Things like Meow Wolf!
My email is: fettigj@wwu.edu
My LinkedIn is: linkedin.com/in/diego-llanes-ai/
My WandB is: wandb.ai/diegollanes