About

Nishant Agrawal is a highly motivated Machine Learning Engineer at drivebuddyAI with a strong focus on the development of artificial intelligence. He is a polymath with a Bachelor's degree in Computer Science and Engineering and a keen interest in exploring new areas of interest. Nishant is a highly curious individual who is always eager to learn about new findings and technologies. With 3.19 years of relevant experience, Nishant has worked as a Machine Learning Researcher at fynd, where he explored various strategies and techniques to improve training for faster convergence. He has also worked on image retrieval via similarity index, exploring self-supervision to estimate embeddings, and color-based similarity in fashion domain data. At Indian Statistical Institute, Nishant worked as a Research Intern, where he focused on change detection in images using deep learning. He implemented/coded existing unsupervised techniques from past and recent research publications and found new and efficient methods for generating error maps. Nishant's technical skills include ML, Research Scientist, AWS, Python, TensorFlow, Jupyter, Keras, Computer Vision, Supervised Learning, Scikit, Sagemaker, OpenCV, scikit-image, Pytorch, Docker, Deep Learning, Web, test, Neural Networks, SQL, AWS ECR, ECS, AI, CNN, dotNET, designer, Pandas, Mobile, and Software Engineer. He is a proficient user of these tools and has used them in various projects. Nishant is a hardworking and dedicated individual who is always willing to go the extra mile to ensure that his work is of the highest quality. He is a team player who enjoys collaborating with others to achieve common goals. With his passion for artificial intelligence and his technical expertise, Nishant is an asset to any organization.