About

Srinjoy Das is a highly motivated and skilled MS-CS student at the University of Illinois Urbana-Champaign. With a strong background in Computer Science, he has gained valuable experience working with cutting-edge technologies in the field of Deep Learning and AI. Currently, he is working as a Deep Learning Compiler Design Intern at Intel, where he is responsible for proposing and implementing graph-substitution based techniques to generate optimal versions of DNN graphs. This has led to better reductions to IR and improved overall performance. Prior to this, Srinjoy worked as a Graduate Teaching Assistant at the University of Illinois Urbana-Champaign, where he gained valuable experience in teaching and mentoring students. He also worked as a Software Engineer at Sprinklr, where he was responsible for developing and monitoring Sprinklr's cloud-based server space for various services and datastores. He was the Service Owner for Hadoop databases and worked on a wide variety of services and technologies such as Python/Perl for programming, Ansible and Jenkins for automations, Sensu for monitoring, MongoDb, Hadoop, MySQL, Quartz Schedulers, logging architecture using Graylog and Logstash, Kubernetes, and various Whatsapp, AWS and Azure APIs. Srinjoy has a Bachelor of Technology in Computer Science from PES and is currently pursuing a Master of Science in Computer Science from the University of Illinois Urbana-Champaign. He has a strong technical background and is proficient in Deep Learning, AI, AWS, Hadoop, Azure, Software Engineering, Ansible, Python, Kubernetes, MySQL, MongoDB, and Jenkins. He has 1.85 years of relevant experience and is passionate about using his skills and knowledge to solve complex problems in the field of AI and Deep Learning.