Arintra
Nitesh Shroff has a diverse work experience spanning over 15 years. Nitesh is currently the CEO and co-founder of Arintra (YC W22), a position they have held since October 2019. Prior to this, they worked at Zoox Inc. as a Research Engineer from April 2017 to February 2019. Nitesh also has experience as a Computational Imaging Scientist at Light from June 2014 to March 2017. Before that, Nitesh worked as a Senior Research Engineer at Qualcomm, specializing in Computer Vision and Mobile Computational Photography from September 2012 to May 2014.
Earlier in their career, Nitesh held the position of Graduate Research Assistant at the University of Maryland from August 2007 to August 2012. Nitesh also gained industry experience through internships at Cisco Systems in 2011 and MERL in 2010. Furthermore, they worked as an Intern at Texas Instruments in 2008 and Redpine Signals in 2006.
Overall, Nitesh Shroff has a strong background in research and engineering roles, with a focus on computational imaging, computer vision, and mobile computational photography.
Nitesh Shroff has a diverse education history. Nitesh received a Doctor of Philosophy (Ph.D.) in Computer Vision from the University of Maryland, where they studied from 2007 to 2012. Before that, they completed their Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering at the Indian Institute of Technology, Madras, during the period from 2003 to 2007. Prior to their undergraduate studies, Nitesh completed their high school education at New Green Field Public School, where they focused on the Science field. Additionally, Nitesh has an unidentified educational experience at Resonance. In 2022, they attended Y Combinator, although the information provided does not mention the specific degree or field of study they pursued there.
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Arintra
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US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using AI and clinical NLP. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention. Arintra solution is specifically tailored to cater to the varying requirements of ambulatory and outpatient specialties, emergency department services, and inpatient settings, ensuring comprehensive coverage across all healthcare domains. Arintra’s software leverages proprietary artificial intelligence and natural language processing algorithms to process patient charts directly from the EHR to create a direct-to-billing claim. Arintra autonomously goes through every stage of the claim submission process and ensures a clean claim for optimal reimbursements without any human intervention. Arintra is integrated with all the top EHRs to ensure effortless implementation without any change in the workflow. Arintra’s medical coding software offers two powerful modes for medical coding: autonomous coding mode and assisted coding mode. In autonomous coding mode, direct-to-billing claims are generated autonomously with high accuracy, streamlining the billing process for healthcare provider organizations. Whereas, assisted coding mode allows medical coders to meticulously review and optimize charges before submission, leading to increased efficiency and precision in the coding process. With Arintra, healthcare provider organizations can rely on precise direct-to-billing claims that include essential codes like E/M levels, CPT, ICD-10, HCC, HCPCS with appropriate modifiers and units. Arintra’s coding solution provides extensive coverage and flexibility, catering to various coding domains such as professional coding, professional-fee coding, facility coding, and inpatient coding.