I am a programmer, scientist, and student who loves working on pioneering and meaningful R&D projects in the field of Artificial Intelligence and Machine Learning. I started with working on my own small side projects in languages such as Python and Ruby, then went on to work with web development languages and tools for various jobs. However, I kept working on my own side projects, which eventually brought me to the exciting field of Artificial Intelligence Research and Development. Here are some of the languages, libraries, and tools I have experience with, as well as some Machine Learning subfields I have done projects in:
- Python (2.7 and 3+)
- Convolutional and Deep Neural Networks
- Bayesian Optimization
- Transforming and Normal Autoencoders
- Policy Gradient and Basic Reinforcement Learning
- Various Neural Network Models for Object Detection
- Label Propagation / Prediction Denoising
I have 3 years of experience in both industry and academia, and am confident that whatever challenge that I come across, I will figure out a solution. I am a quick learner, enjoy working collaboratively with productive people, and have evidence of my past work to back up my experience, as shown on my Resume. If you look at my Github, you can see many of the projects I have undertaken for both jobs and for my own enjoyment, anything ranging from BBHO, a Bayesian Optimizer for Machine Learning (and accompanying Blog Series) to DENNIS, a modular and efficient system for experimentation with deep learning.
I am currently working on Image Recognition and Analysis with Machine Learning for Tuberculosis with the Microbiology Department at Colorado State University.
My Artificial Intelligence / Machine Learning blog can be found here.
Thanks for reading! If you have any questions, feel free to contact me via email.
I now focus on work in Artificial Intelligence and Machine Learning, and am no longer am interested in web development jobs.