Akash Patil is a Machine Learning Engineer I at Javis, specializing in document parsing systems and machine learning model development since June 2023. Previous experience includes a research internship at Adobe, where notable contributions involved a novel subset-based approach for transfer estimation, resulting in a 6.5% improvement in performance and publication of findings in the CVPR 2024 proceedings. Prior to that, Akash served as an AI and Computer Vision Intern at Honeywell, implementing innovative methods for depth estimation and achieving a 36% improvement in performance for ground vehicle applications. Akash's early career includes project work at the Centre for Innovation and application development at Workfence, along with managerial roles at the International and Alumni Relations Student Council of IIT Madras. Akash holds a dual degree in Data Science from the Indian Institute of Technology, Madras, completed in July 2023.
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