Welcome to my Website!

This is my website, where I’ll post about all the random stuff that might be happening in my life! For now, it is more of a repository and an introduction to my projects, the things I do, and what I’m interested in! Right now, I’m just getting started on this website and having trouble with it!

But for now, I’ll plug some stuff I’ve done and I’m currently working on!:

• GPT - A working GPT-2 replica based on the paper “Attention is All You Need” as well as the paper “Language Models are Few-Shot Learners”
• Neural Networks - An investigation project in the way neural networks work through gradient descent and backpropagation, specifically implementing a bare-bones verion of PyTorch, where everything is manually backpropagated using code instead of using PyTorch’s backward() call.
• League of Legends Competitive Analysis - An analysis on the competitiveness of League of Legends Professional Leagues, specifically aimed at how well we can predict whether or not a team can win using various different data on what the team has done in a match
• League Prediction Models - A new writeup, where we predict the relationship between specific hyperparameters and how well they could do in the prediction of the question of team vs individual stats upon the dataset. We also further investigation machine learning models and how these stats play into the problem of winning each individual match.
• Visualizing Moore’s Law - A premature visualization using Svelte’s Scrollyteller, which allows us to tell a story by scrolling through a page. Manually done through scrapping through data regarding transistory history over a period of 60 years. Suggests that Moore’s Law has a possibility of continuing, although it may not be long lived.