Akhil Eppa is currently a Machine Learning Engineer at Adobe, where they develop and evaluate agentic workflows and fine-tune models for specific use cases. Previously, they served as a Graduate Teaching Assistant at Carnegie Mellon University, supporting cloud computing courses and enhancing team project components. Akhil holds a master's degree in Computational Data Science from Carnegie Mellon University and gained diverse experience through roles as a Software Engineering Intern at Komprise and a Research Intern at the Parallel Systems Research Lab, where they developed a plagiarism detection tool. Their teaching experience includes roles as an Undergraduate Teaching Assistant at PES University and a Subject Matter Expert at PESU I/O.
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