Fahad Yousaf
About Fahad Yousaf
Fahad Yousaf is a Machine Learning Scientist II with expertise in machine learning and deep learning frameworks, currently employed at Turing.com in Lahore, Pakistan. He specializes in Natural Language Processing and has a background in data science from his previous role at i2c Inc.
Current Role at Turing
Fahad Yousaf currently holds the position of Machine Learning Scientist II at Turing.com. He has been with the company since 2022 and is based in Lahore, Punjab, Pakistan. In this role, he focuses on applying machine learning techniques to various projects, contributing to advancements in artificial intelligence.
Previous Experience at i2c Inc.
Prior to his current role, Fahad Yousaf worked at i2c Inc. for a total of three years, from 2019 to 2022. He initially served as a Data Scientist and later took on the role of Project Lead for a period of eight months. His experience at i2c Inc. was also based in Lahore, Pakistan, where he managed data science projects and collaborated with teams to deliver solutions.
Education and Expertise
Fahad Yousaf earned his Bachelor's degree in Computer Science from Government College University (GCU) in Lahore. His studies spanned from 2015 to 2019, providing him with a solid foundation in computer science principles. He specializes in Natural Language Processing within the machine learning and deep learning domains, utilizing frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Machine Learning and Deep Learning Skills
Fahad Yousaf possesses hands-on experience with various machine learning and deep learning frameworks. His expertise includes working with TensorFlow, PyTorch, and Scikit-learn, which he applies in his current and previous roles. His focus on Natural Language Processing allows him to tackle complex problems in the field of artificial intelligence.
Career Aspirations
Fahad Yousaf aspires to advance his career as a data scientist, with a specific interest in solving real-life problems through the application of artificial intelligence. His background in machine learning and deep learning supports his goal of making a meaningful impact in the field.