Ronit Sarkar

Ronit Sarkar has a diverse work experience. In 2023, they worked as a Software Engineer at Gigamon. Prior to that, they interned as a Software Engineer at the same company from February to August 2023. In 2022, they were a Research Intern at Nagasaki University, where they proposed a unit Few-Shot Schematic Segmentation method for MRI Images. Ronit utilized Context-Aware Prototype Learning (CAPL) to improve the performance of the classifier. From June 2021 to February 2022, Ronit worked as a Prism Developer at Samsung Electronics. Lastly, from October 2020 to February 2022, they were a Member of IEEE SPS VIT.

Ronit Sarkar attended VIT University (Chennai Campus) from 2019 to 2023, where they pursued an undergraduate degree in Electronics and Communications Engineering. In addition to their formal education, they obtained several certifications. In October 2020, they completed the course "Neural Networks and Deep Learning" from deeplearning.ai. In August 2020, they obtained a certification in "Deep Learning: Face Recognition" from LinkedIn. Furthermore, in July 2020, they completed the courses "AutoML for Computer Vision with Microsoft Custom Vision" and "Predictive Modelling with Azure Machine Learning Studio" from Coursera. Additionally, in May 2020, they acquired certification in "C Programming For Beginners - Master the C Language" from Udemy.