Muhammad Rehman Rabbani
About Muhammad Rehman Rabbani
Muhammad Rehman Rabbani is a Machine Learning Scientist at Turing.com, where he has worked since 2022. He holds a degree in Computer Science with a focus on Data Science and Machine Learning from the National University of Sciences and Technology (NUST), where he studied from 2016 to 2020.
Work at Turing
Muhammad Rehman Rabbani has been employed at Turing.com as a Machine Learning Scientist since 2022. In this role, he focuses on developing and implementing machine learning models and algorithms. His work contributes to Turing's mission of connecting companies with top-tier remote developers and enhancing the efficiency of software development processes.
Education and Expertise
Muhammad Rehman Rabbani completed his undergraduate studies at the National University of Sciences and Technology (NUST) from 2016 to 2020. He specialized in Data Science and Machine Learning, earning a degree in Computer Science. His educational background provides a strong foundation in both theoretical and practical aspects of machine learning and data analysis.
Background
Before his current position, Muhammad Rehman Rabbani gained diverse experience in the tech industry. He worked as a Web Developer Intern at Blow Soft Solutions for two months in 2018. He also served as a Research Assistant at NUST School of Electrical Engineering & Computer Science for two months in 2019. Additionally, he freelanced on Fiverr from 2018 to 2020, providing services related to software development.
Previous Employment
Muhammad Rehman Rabbani worked as a Software Engineer at i2c Inc. from 2020 to 2022. During his tenure, he contributed to software development projects, utilizing his skills in programming and machine learning. His experience at i2c Inc. helped him refine his technical abilities and prepare for his current role at Turing.
Early Education
Muhammad Rehman Rabbani completed his Intermediate studies in Pre-Engineering at Punjab College of Sciences, Gujranwala, from 2013 to 2015. This foundational education equipped him with essential skills in mathematics and science, which are critical for his later studies in computer science and machine learning.