AIRA Matrix Private Limited
Kuldeep Gautam has a diverse range of work experience. Kuldeep started their career in 2018 as a Data Science Intern at Strategic IP Information (SIPI IP), where they worked for two months. In 2019, they joined Samsung R&D Institute India as an Engineer for a period of six months. In 2020, they became a Research Assistant at the Department of CSE, IIT Hyderabad, where they worked for three years until 2022. Currently, they are an AI Engineer at AIRA Matrix Private Limited, starting from February 2023.
Kuldeep Gautam holds an M.Tech degree in Computer Science & Engineering from the Indian Institute of Technology, Hyderabad, where they served as a Research Assistant from 2020 to 2022. Prior to that, they completed their B.Tech (Hons) in Computer Science & Engineering from Ajay Kumar Garg Engineering College between 2015 and 2019. Before entering college, they obtained their Twelfth Grade education from Delhi Public School, Mathura in 2014. Kuldeep also completed their Tenth Grade from Grace Convent School, Mathura in 2012. In addition to their formal education, Kuldeep has obtained several certifications, including "Improving Deep Neural Networks" and "Neural Networks and Deep Learning" from deeplearning.ai in May 2020, "Machine Learning A-Z : Hands-On Python in Data Science" from Udemy in January 2018, and "Python Programming, Data Structures and Algorithms" from NPTEL in September 2017.
AIRA Matrix Private Limited
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AIRA MATRIX is a software company that provides image analysis and management solutions for preclinical toxicology and pathology applications. The company’s decision-support solutions help improve workflow efficiency and increase diagnostic accuracy in research labs, drug discovery studies, and clinics. They develop and design comprehensive DigitalPathology solutions.AIRA MATRIX deep-learning-based platform helps pathologists analyze large volumes of image data and quickly helps focus on relevant study findings. Their solutions go well beyond the simple marking applications currently offered in the industry, instead, their solutions address the more complex workflow processes and image analysis issues faced in pathology reporting.