I love Building tools, crawlers, and collection systems for the purpose of acquiring and extracting insights from publicly available data. I've been writing data acquisition and mining tools for all of my personal projects and it's a really fun hobby of mine.
I have experience in training and deploying machine learning models with my go-to ML stack being Numpy for cleaning and loading data and PyTorch for building models and training them. I am currently learning more about Jax and transformers.
I'm comfortable writing high performance applications that run on the backend, such as my message broker written in Rust that powers my VPush project. Optimizing and debugging issues to make applications less fault-prone is something I aim to do in every project I work on.
Because of the sheer amount of publicly available financial data, I find financial modelling and quantitative analysis to be a rewarding hobby of mine and have various projects related to this field. Finding relationships between companies and modelling their performance is very fun.