About

Subhankar Ghosh is a passionate Applied Research Scientist at NVIDIA with a strong background in Mathematics and software engineering. With a Master's degree in Statistics with Analytics Concentration from the University of Illinois, he has over 4 years of relevant experience in the field of AI, Deep Learning, and ML. Subhankar has a proven track record of working with some of the biggest tech giants in the industry, including Google and Microsoft. During his tenure as a Software Engineering Intern at Google, he worked on outlier detection by implementing state-of-the-art sequence deep learning models and image embeddings. He has also worked as a Deep Learning Engineer at NVIDIA, where he has gained hands-on experience in developing conversational AI models. Subhankar's passion for Mathematics and software engineering has helped him apply machine learning and deep learning algorithms to real-life problems. He has a strong proficiency in several programming languages, including Python, C++, and Java. He possesses excellent analytical and problem-solving skills, which have enabled him to solve complex problems with ease. Subhankar is a quick learner and has a keen eye for detail. He is always up to date with the latest developments in the field of AI and Deep Learning and strives to implement them in his work. He believes in working collaboratively and has excellent communication skills, which have helped him work effectively with cross-functional teams. Overall, Subhankar Ghosh is an accomplished Applied Research Scientist with a strong passion for Mathematics, software engineering, and AI. With his extensive experience and skills, he is an asset to any organization he works with.