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Nitesh Shroff
Building clinically focused solution to automate patient intake, clinical note and improve billing for the hospital systems.
Nitesh Shroff is the Co-founder and CEO of Arintra, a company specializing in AI-powered autonomous medical coding technology. He has held this position since October 2019, guiding the company through significant growth and innovation in the healthcare sector. Arintra, which is part of Y Combinator's Winter 2022 batch, focuses on automating medical coding to enhance efficiency and accuracy in revenue cycle management for healthcare providers.125
Educational Background
Nitesh holds a Ph.D. in Computer Vision from the University of Maryland (2007-2012) and a Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering from the Indian Institute of Technology, Madras (2003-2007). His educational background has provided him with a strong foundation in advanced technologies relevant to his work at Arintra.13
Professional Experience
Before co-founding Arintra, Nitesh gained extensive experience in various engineering and research roles:
- Research Engineer at Zoox Inc. (2017-2019), where he focused on deep learning technologies.
- Computational Imaging Scientist at Light (2014-2017), contributing to advancements in imaging technology.
- Senior Research Engineer at Qualcomm (2012-2014), specializing in computer vision and mobile computational photography.
- Graduate Research Assistant at the University of Maryland (2007-2012), where he worked on projects related to video summarization and robotics.135
Contributions to Arintra
Under Nitesh's leadership, Arintra has made significant strides in the healthcare industry, reporting impressive metrics such as a 96% accuracy rate in coding and substantial time savings for healthcare providers. The company has processed millions of claims, demonstrating its impact on reducing administrative burdens and improving financial performance for its clients.246
Nitesh Shroff's expertise in AI, machine learning, and computational imaging positions him as a key figure in transforming how medical coding is approached within the healthcare system.

