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!

• 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!

• 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: [email protected]

My LinkedIn is: linkedin.com/in/diego-llanes-ai/

My WandB is: wandb.ai/diegollanes