Arintra
Shivendra Pratap Singh has a diverse work experience in the field of data science and machine learning. Shivendra Pratap started their career as a Research Intern at the National Institute of Technology Rourkela in 2019, where they gained valuable research experience. In 2020, they joined Affine Analytics as a Data Science Intern, further expanding their knowledge in the field.
Later in the same year, Shivendra joined Arintra (YC W22) and took on the role of a Machine Learning Engineer. Shivendra Pratap worked in this position until March 2022, where they demonstrated their expertise in implementing machine learning algorithms for various projects. Shivendra Pratap then progressed to the role of a Senior Machine Learning Engineer, where they took on more complex projects and responsibilities.
Currently, Shivendra holds the position of Lead NLP Engineer at Arintra (YC W22) starting from August 2022. This role demonstrates their specialization in Natural Language Processing (NLP) and their leadership abilities in managing NLP projects.
Overall, Shivendra's work experience showcases their continuous growth and development in the field of data science and machine learning, with a focus on NLP and machine learning engineering roles.
Shivendra Pratap Singh earned a Bachelor's degree in Computer Science from the Indian Institute of Information Technology, Kalyani, from 2016 to 2020. In addition to their formal education, they obtained several certifications. These include "Data Analysis with python" from IBM in August 2020, "What is Data Science" from IBM in December 2019, "Neural Networks and Deep Learning" from deeplearning.ai in March 2019, and "Convolutional Neural Networks" from deeplearning.ai in January 2019.
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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.