AIRA Matrix Private Limited
Amogh Amrit Mohanty's work experience includes:
- Currently working as an Imaging Scientist at AIRA MATRIX since June 2021.
- Worked as a Research and Development Intern at Philips from April 2020 to June 2020.
- Completed a Summer Internship at Marlabs Inc. from May 2019 to July 2019.
- Held various roles at Technex, IIT (BHU) Varanasi, including Event Manager and Airshow Coordinator from August 2018 to March 2019.
Amogh Amrit Mohanty completed their education from 2016 to 2021 at the Indian Institute of Technology (Banaras Hindu University), Varanasi. Amogh Amrit pursued an integrated dual degree in Bioengineering and Biomedical Engineering during this time.
In addition to their academic qualifications, Amogh Amrit Mohanty also obtained several certifications. In March 2019, they completed a certification course on Introduction to Descriptive Statistics from Udacity. In February 2019, they obtained a certification in Introduction to Inferential Statistics, also from Udacity. Furthermore, Amogh Amrit Mohanty completed a Machine Learning Specialization: Regression course from the University of Washington | Coursera in January 2019. Lastly, in December 2018, they obtained a certification in Machine Learning Foundation Using Case Study Approach from the same institution, University of Washington | Coursera.
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.