About

Nishit Garg is a computer scientist at Adobe, with a strong background in cloud, analytics, full-stack development, and IoT fields. He is a technology enthusiast software engineer with the capability to work in any domain. Nishit is passionate about developing and optimizing complex algorithms for large scalable systems and is always ready to take up challenging roles to build a career enriched with diversity. Nishit has a demonstrated history of working in various fields, including cloud, analytics, full-stack development, and IoT. He has worked as a senior software engineer at Arcesium, where he has developed state-of-the-art machine learning functions, proposed new analytic functions, and built POCs using the latest technologies in the analytics domain. Nishit has also worked as a senior data scientist at Freshworks, where he was part of a project responsible for enhancing customer engagement with the power of AI. He has also worked as a software engineer at Teradata, where he built POCs on the cloud and enhanced the security of Kubernetes cluster. Nishit has a Master's degree in software systems from Birla Institute of Technology and Science, Pilani, and a Bachelor's degree in Information Technology from Bharati Vidyapeeth's College of Engineering Delhi. He also has a high school degree in mathematics and computer science from Ramjas School Pusa Road, Delhi. Nishit is skilled in software engineering, research, machine learning, natural language processing, Spark, data science, AI, Kafka, Spring, Python, Java, Kubernetes, SQL, MongoDB, information retrieval, backend, Sagemaker, Apache Storm, deep learning, test, QA, Docker, TensorFlow, MySQL, Hadoop, microservices, search, integration, and mobile. He has relevant experience of 6.11 years and is always looking to expand his skill set and take on new challenges.