About

Lucky Srivastava is a highly skilled Lead Deep Learning Engineer at couture.ai with over 6 years of relevant experience in the field of Data Science, Deep Learning, Machine Learning, and Computer Vision. He is a 2017 graduate with a Bachelor of Technology degree in Computer Science from NIT Surat, where he developed a keen interest in Cloud technologies, Software Development, and Data Science/DL. Lucky is passionate about using Deep Learning, Machine Learning, and Computer Vision to solve real-world problems and has a proven track record of delivering high-quality solutions. He enjoys coding and full-stack development in his free time and is always eager to learn new skills and advance his knowledge of the latest technologies. In his current role as Lead Deep Learning Engineer at couture.ai, Lucky is responsible for leading the development and implementation of Deep Learning models and solutions. He has previously worked as a Deep Learning Engineer and Associate Data Scientist at couture.ai, where he was involved in developing a hybrid recommendation pipeline for a video serving platform and integrating Tensorflow and Pytorch Serving into the organization's Data Science Platform. Lucky's portfolio showcases several proof of concepts, including Multilingual Speech to Text, Fashion Clothing Parsing, Video Background Blur and Swap, which have led to multiple client acquisitions. He has also worked on Brands Detection and Visual Similarity for Ajio, where he integrated GPU-based training and automation processes for cloud and on-premise servers. Lucky's technical skills include Deep Learning, AI, ML, Computer Vision, infra, Data Scientist, Python, Kubernetes, Software Engineer, Research Scientist, Tensorflow, and Pytorch. With his extensive knowledge and experience, Lucky is a valuable asset to any organization looking to develop cutting-edge solutions in the field of Data Science and Deep Learning.