About

Siva Karthik Gade is a highly skilled Software Development Engineer with expertise in Machine Learning. Currently working at Amazon, he is responsible for designing and developing state-of-the-art NLP models and supporting ML workflows to enhance the Amazon catalog worldwide. With 11.78 years of relevant experience, Siva has a deep understanding of the industry and is well-versed in the latest technologies. Prior to joining Amazon, Siva worked as a Senior Software Engineer at Saba Software, Inc. where he practiced agile methodology and delivered two features related to analytics and data mining in Saba People Cloud (SPC). He also introduced server-side support for SabaAnywhere on Mobile feature in SPC, extended the current web-only course content consumption support to devices, including offline support, and developed server-side caching support in SPC. He has worked in a team of 3 and split across all product modules. Before that, Siva worked as a Software Engineer at Saba Software, Inc. where he developed a content player that plays SCORM, AICC, and non-standard contents. He also built a feature that corrects missing/error data and reports violations encountered during the course completion process and computes correct score and status. He has worked in a team of 6. Siva holds a Master of Science (M.S.) degree in Computer Science (Data Science track) from the University of Texas and a Bachelor of Technology degree in Information and Communication Technology from DA-IICT. He has also completed courses from Coursera. He is well-versed in Software Engineering, ML, NLP, Mobile, and Web technologies. In summary, Siva Karthik Gade is a highly skilled Software Development Engineer with expertise in Machine Learning. He has 11.78 years of relevant experience and has worked at Saba Software, Inc. and Amazon. He holds a Master of Science (M.S.) degree in Computer Science (Data Science track) from the University of Texas and a Bachelor of Technology degree in Information and Communication Technology from DA-IICT. He is well-versed in Software Engineering, ML, NLP, Mobile, and Web technologies.