Junior Machine Learning Engineer, Machine Learning Apprentice
I'm Stanley, a passionate early career data scientist. I am a strong systematic thinker who enjoys applying logical reasoning to find elegant and performant solutions to complex problems. Within artificial intelligence, I'm focused on natural language processing (NLP) primarily. I'm also broadly interested in generative AI, reinforcement learning, robotics and recommendation systems. I'm intrigued by the mind and consciousness and fascinated by neuroscience and philosophy. My preferred tech stack is fastai for model development, jupyter notebooks for experimentation, seaborn for visualisation and gradio for data driven web apps. I'm also familiar with the usual pandas, numpy and matplotlib trio. I code version with git/github and my editor of choice is vscode. I'm open to learning any other toolset required to solve the task.
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