As a budding Data Scientist, I specialize in Machine Learning and Artificial Intelligence methodologies and interested in large scale data analysis. I have a deep passion for developing software that automates everyday tasks that are normally arduous.Ongoing Projects:1. Enhancements and expansions to the Automatic1111 Stable Diffusion WebUI, encompassing investigations into LoRAs, Hypernetworks, and denoising techniques in Stable Diffusion.2. Creating Reinforced Learning models for board games to find optimal game strategies often seeing parallels between classic game theory in addition to new strategies to maximize effectiveness. 3. Creation of task automation software for routine activities such as personal banking and Excel data processing, primarily using Python due to its effectiveness in small-scale automation.4. Development of a Video and Picture Management Application designed for film rating, categorizing, and querying, enhancing the efficiency of media handling and analysis.Work Projects1. MicroDrop NextGen Application - A user interface to interact with the DropBot machine to create chemical procedures that run on microchips. MDNxGen is based on a previous application that was made using GTK2. MDNxGen uses completely different technologies with GUI being created via PySide6 and using message brokering of RabbitMQ.