About

Vedang Mandhana is a talented Software Development Engineer at Amazon with a passion for machine learning and artificial intelligence. He is currently pursuing a Master of Science in Computer Science at Columbia University, specializing in machine learning. Vedang has contributed to a range of interdisciplinary projects utilizing AI, including Brain-Computer Interface, Computational Drug-Discovery, Medical Imaging, and Synthetic Human Rendering. He has also published his work in these areas. Vedang's graduate-level coursework at Columbia University has given him a strong foundation in machine learning, deep learning, computer vision, and natural language processing. He is actively involved with the AI Model Share Initiative and open-source Python library development at Columbia University, which aims to democratize access to and understanding of AI models. This has provided him with valuable experience in utilizing cloud services and understanding MLOps. Vedang is looking forward to joining teams working on cutting-edge research and exciting applications. With his past experience in applied AI, he believes he can thrive in Data Scientist, Research Scientist, and Applied Scientist roles. He also believes he can contribute positively to organizations as an ML Engineer, complementing the functionalities of Data Science and Data Engineering teams. Vedang's past experiences include working as a Developer at the AI Model Share Initiative at Columbia University, where he orchestrated a pipeline to efficiently build and deploy complex deep learning models inside Docker containers in a single function call. He also collaborated with an 8-member team to develop an open-source Python library that democratized machine learning models by enabling seamless deployment and sharing of models' architectures and parameters between users. Vedang has also worked as a Data Science Research Intern at Onward Assist, where he consulted with pathologists to understand breast cancer diagnosis and devised a novel model pipeline to segment tumor cells. Vedang has a Bachelor of Engineering in Information Technology from Pune Institute of Computer Technology. His tech stack includes software engineering, AI, ML, AWS, deep learning, Python, computer vision, data engineering, NLP, Docker, GAN, normalization, OpenCV, and image segmentation. Vedang has 1.53 years of relevant experience and is open to discussing his experiences in detail.