Shubham Goswami

Shubham Goswami has a diverse work experience in various roles related to machine learning and computer vision.

Shubham is currently working as a Machine Learning Engineer specializing in Computer Vision at Level AI since 2022.

Prior to that, Shubham worked as a Machine Learning Researcher at Granular from 2021 to 2022, where they focused on machine learning research.

Shubham also worked as a Research Consultant at NVIDIA from 2021 to 2022, collaborating with Bharat Giddwani on detection in computer vision and episodic memory.

In 2019, Shubham worked as a Research Fellow at Indraprastha Institute of Information Technology, Delhi. During this time, they focused on AI-based solutions for cancer diagnostics and survival analysis. Shubham also served as a Junior Research Fellow, utilizing computer vision and deep learning for biomedical solutions.

Similarly, Shubham had a research collaboration at NVIDIA from 2020 to 2021, specializing in deep/machine learning.

Shubham gained research experience as a Researcher and Undergraduate Researcher at Irisys Co., Ltd. from 2017 to 2019.

Shubham also had a research collaboration in autonomous driving at Chungbuk National University from 2018 to 2019, where they deployed autonomous driving solutions using AI techniques.

Shubham'searly work experience includes being a Student and Teaching Assistant in Machine Learning at Indraprastha Institute of Information Technology, Delhi from 2014 to 2018.

Additionally, Shubham worked as a Research Intern at Accenture in 2017, focusing on automated customer support using social media data.

Shubham also worked as an Intern Software Developer/Cloud Developer at Coforge in 2016, contributing to AFLAC and gaining experience in enterprise integration patterns and cloud technologies.

Overall, Shubham Goswami has a strong background in machine learning, computer vision, and AI research, with a focus on cancer diagnostics, autonomous driving, and customer support applications.

Shubham Goswami has a strong education background in the field of computer science and artificial intelligence. Shubham earned a Master of Science (MS) degree in Artificial Intelligence from Liverpool John Moores University between 2021 and 2023. Prior to that, they completed their Bachelor of Technology (B.Tech.) in Computer Science from Indraprastha Institute of Information Technology, Delhi, graduating between 2014 and 2018.

Shubham also holds a 12th-grade degree in Science Non-Med from Kendriya Vidyalaya, although the specific timelines for this qualification are not provided.

In addition to their formal education, Shubham has obtained several certifications to enhance their expertise. Shubham completed the Executive Post Graduate Programme in Machine Learning and Artificial Intelligence from the International Institute of Information Technology Bangalore in October 2022. Shubham also holds the Verified International Academic Qualifications from World Education Services, which they obtained in January 2021. In terms of online certifications, Shubham achieved the Deep Learning Specialization from Coursera in March 2019. Shubham has also obtained certifications from Udemy in Node JS Developer (January 2016), MongoDB (January 2015), and Responsive Web Development (January 2015). Finally, they completed a certification in Data Analytics from NPTEL in March 2018.