About

Harsh Gupta is a highly skilled Software Engineer currently working at Bloomberg LP. With a background in Information Technology, Harsh has gained extensive experience in the field of Deep Learning, Azure, ML, Neural Networks, Flask, and Web. He has a relevant experience of 1.19 years in the industry. Harsh's recent publication, "A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT," in the Springer SCIE Journal, demonstrates his expertise in the field of Research Science. His research work involves the development of a lightweight deep learning-based model for IoMT, which is a significant breakthrough in the field of medical imaging. Prior to joining Bloomberg LP, Harsh worked as an SDE Intern at Wells Fargo, where he developed a personalized report generator that produced real-time reports for underwriters for each incoming loan application. He used Linear Models generated using Deep Neural Network and Explainable Artificial Intelligence (XAI) techniques to generate reports. He also created a web application using Flask and deployed it using Azure Machine Learning and Azure App Service for the report generator. During his undergraduate studies at Netaji Subhas Institute of Technology, Harsh worked as an Undergraduate Researcher, where he published a research paper titled "A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT" in the Neural Processing Letters (Springer SCIE Journal). He worked under the guidance of Dr. Deepak Kumar Sharma, and the paper is available on Springer's website. Harsh's education history includes a Bachelor of Engineering in Information Technology from Netaji Subhas Institute of Technology. He is set to graduate in 2022. Overall, Harsh Gupta is a highly skilled Software Engineer with a passion for research and development. His expertise in Deep Learning, Azure, ML, Neural Networks, Flask, and Web makes him a valuable asset to any organization.