About

Jigar Doshi is a seasoned Senior Machine Learning Scientist with over 13 years of relevant experience in the field. Currently working at Wadhwani AI, Jigar holds the position of Senior ML Scientist and Manager, where he is responsible for managing various projects related to Pest management for smallholder cotton farmers, Voice/Cough to detect Covid, and Visual weighing of newborn babies. He keeps his followers updated on his recent work through his blog, Google Scholar, and Twitter handles. Previously, Jigar worked as the Head of Machine Learning at CrowdAI, where he led the development of deep learning and vision algorithms for satellite imagery. He was also responsible for exploring, assessing, and prioritizing high-risk/non-traditional ideas into the company's tech arsenal. Jigar represented and recruited the company at research and industry conferences and delivered talks at various meetups. He has also contributed to several research papers, including FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video, Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery, and From Satellite Imagery to Disaster Insights, among others. Before working at CrowdAI, Jigar worked as a Researcher at IBM, where he worked on Computer Vision and Deep Learning. Jigar holds a Ph.D. in Computer Science, an M.S. in Computer Science, and a B.S. in Computer Science. He is proficient in various technologies, including Research Scientist, ML, AI, Object detection, Deep Learning, Object Detection, Computer Vision, and Neural Networks. Jigar is a highly motivated individual who is passionate about exploring new ideas and technologies in the field of Machine Learning. He is a team player with excellent communication and leadership skills.