Aninditha Ramesh

Background

About Aninditha Ramesh

I am currently pursuing a Master's degree in Computational Data Science at Carnegie Mellon University (CMU) with an expected graduation date in December 2023. I am actively seeking full-time career opportunities commencing in January 2024, with a specific interest in roles related to Machine Learning, Data Science, and Software Engineering. During my academic journey at CMU, I have taken up a diverse range of courses, including Deep Learning, Machine Learning in Production, and Multilingual Natural Language Processing. These coursework experiences have equipped me with a comprehensive understanding of the cutting-edge advancements within the field of Machine Learning and Deep Learning. Furthermore, I have garnered practical expertise in the design and deployment of cloud-based applications. This hands-on experience involved orchestrating a self-managed Kubernetes cluster, utilizing Docker, Terraform, and Helm for infrastructure management. I also engaged in research work during the summer, wherein I focused on leveraging Large Language Models (LLMs) for Clinical question answering. My research efforts encompassed the evaluation of prompt engineering and fine-tuning techniques across a variety of LLMs. My educational background includes a Bachelor's degree in Computer Science and Engineering, specializing in Data Science, from PES University. Prior to pursuing my Master's degree at CMU, I served as a Software Engineer at HPE, where I contributed to the development of backend analytics for their Primera and Nimble storage systems using Python. My educational journey and professional experiences have equipped me with a strong foundation in Machine Learning and software development, positioning me as a valuable candidate for roles in the fields of Machine Learning, Data Science, and Software Engineering. I am eager to apply my knowledge and skills to make meaningful contributions to innovative projects and organizations!