About

Hemanth Jamili is a Senior Software Engineer at Near, the world's largest source of intelligence on People, Places, and Products. With over 4 years of relevant experience, Hemanth is an experienced software developer with expertise in diversified tech-stack like J2EE, Spring Boot, Hibernate, Oracle, Python, Machine Learning, and more. He has worked in the R&D team for the development of Manhattan's Demand Forecasting and Replenishment products, where he was responsible for understanding functional requirements, preparing technical specification documents, and developing new features for current and future releases. He has also worked as a full-stack developer at Nissan, where he successfully developed and implemented a voice-based command recognition engine using Python and Machine Learning, which increased the number of cars that undergo the final inspection process. Hemanth is passionate about solving business problems with his skills. He has a Post Graduate Diploma in Business Management from NMIMS and a Bachelor's degree in Computer Software Engineering from NRI Institute of Technology. He also holds an intermediate degree in Mathematics, Physics, and Chemistry from KBN College. Hemanth's tech-stack includes Software Engineer, Java, ML, Spring, AWS, Spring Boot, Python, SQL, MongoDB, ECS, test, Redis, Docker, Kafka, Flask, and UI. At Near, he is working on developing/enhancing the Near's Demand Side Platform, which is used to create and configure the AD campaigns along with Near's Platform development. Hemanth is a self-motivated and result-oriented professional who strives to deliver optimal business performance. His experience in developing and implementing innovative solutions for complex business problems makes him a valuable asset to any organization.