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Throughout my jorney in Sidia, I engaged in research and development within the field of machine learning, with a primary focus on innovative technologies. My responsibilities encompass a diverse range of topics, including image recognition, investigation into zero-cost proxies for NAS, and the construction of intricate architectures. My role involves staying at the forefront of cutting-edge developments in machine learning, contributing to advancements in areas such as image analysis, and the… Show more Throughout my jorney in Sidia, I engaged in research and development within the field of machine learning, with a primary focus on innovative technologies. My responsibilities encompass a diverse range of topics, including image recognition, investigation into zero-cost proxies for NAS, and the construction of intricate architectures. My role involves staying at the forefront of cutting-edge developments in machine learning, contributing to advancements in areas such as image analysis, and the design of sophisticated model architectures. Show less

For my undergraduate research project, I delved into the realms of traditional machine learning, deep learning, and Python for data science. My focus was on applying these techniques to the field of bioinformatics, specifically in the context of researching Parkinson's disease. Throughout the project, I explored the intricacies of leveraging both traditional machine learning algorithms and deep learning methodologies to analyze relevant datasets. The goal was to contribute to the understanding… Show more For my undergraduate research project, I delved into the realms of traditional machine learning, deep learning, and Python for data science. My focus was on applying these techniques to the field of bioinformatics, specifically in the context of researching Parkinson's disease. Throughout the project, I explored the intricacies of leveraging both traditional machine learning algorithms and deep learning methodologies to analyze relevant datasets. The goal was to contribute to the understanding and identification of patterns associated with Parkinson's disease, utilizing the powerful tools of machine learning and data science to make meaningful strides in the field of bioinformatics. Show less