Programs must be written for people to read, and incidentally for machines to execute
I am a highly skilled computer science and artificial intelligence professional. I recently completed a Master's degree in AI, where I gained expertise in machine learning, deep learning, natural language processing, and computer vision.
Throughout my academic and personal projects, I have demonstrated a diverse set of technical abilities. For my graduation project, I developed advanced time series forecasting models that outperformed state-of-the-art approaches. I have also built impressive applications, including a private school management system, an expert system manager, and a full-featured anime/series watching website.
Beyond my academic studies, I have also contributed to the open-source community by developing a useful Flutter package and leveraging the power of merging large language models to boost performance , Im familiar setting up and working with Large Language Models (LLMs) and Diffusion models, both locally and on the cloud. This includes familiarity with techniques like quantizing LLMs (such as GUFF) and various LLM merge methods (e.g. slerp, Dare, Dare ties)
