About

Osaid Rehman Nasir is an Applied Research Engineer at LinkedIn with a keen interest in Deep Learning, Machine Learning, and Distributed Systems. He is a full-stack software engineer at Infradev, proficient in Java Rest.li backend, and React frontend. With 2.78 years of relevant experience, he has worked as a Software Engineering Intern - PIE at LinkedIn, where he showed correlation between Network Device Alerts and OS, vendor, etc. He also wrote a Samza Job to enrich a Kafka stream and displayed it on Kibana. Osaid has also worked as a Teaching Assistant for MTH300 Introduction to Mathematical Logic at Indraprastha Institute of Information Technology, Delhi. He has pursued a Bachelor of Technology (BTech) in Computer Science and Applied Mathematics from IIIT Delhi, where he was a part of the Institute's research group. He has also completed Higher Secondary education with a 96.4% score from Birla Vidya Niketan. Osaid is well-versed in various technologies, including Research Scientist, ML, Deep Learning, Frontend, Backend, Software Engineer, and Kafka. He is a dedicated professional with a passion for exploring new technologies and applying them to real-world problems. He is currently working on Applied Machine Learning at LinkedIn, where he is leveraging his expertise in Machine Learning and Distributed Systems to develop innovative solutions.