Afaq Ahmad
About Afaq Ahmad
Afaq Ahmad is a Machine Learning Engineer currently serving as a Senior Machine Learning Engineer Consultant at Stealth Mode in London, England. He holds a Master's degree in Robotics and Intelligent Machines from the National University of Sciences and Technology and has developed a football sports analytics system that leverages cloud-based deployment and AI technologies.
Current Role at Stealth Mode
Afaq Ahmad serves as a Senior Machine Learning Engineer - Consultant at Stealth Mode since 2023. His role is based in London, England, and allows for remote work. In this position, he applies his expertise in machine learning to various projects, leveraging his background in robotics and data science.
Experience at Turing
Afaq Ahmad has been working as a Machine Learning Engineer at Turing since 2022. This role is conducted remotely from California, United States. His responsibilities include developing and implementing machine learning models, contributing to various projects that require advanced analytical skills.
Educational Background
Afaq Ahmad holds a Master of Science in Robotics and Intelligent Machines from the National University of Sciences and Technology (NUST). He also earned a Bachelor of Engineering in Electrical (Telecommunication) Engineering from Government College University, Faisalabad. His academic background provides a strong foundation for his work in machine learning and data science.
Professional Experience
Afaq Ahmad has a diverse professional background in machine learning and data science. He worked as a Data Scientist at Fiverr from 2018 to 2021 and served as a Machine Learning Engineer at TenX from 2021 to 2023. His experience also includes roles at Ai XPRT as a Deep Learning Research Engineer and as a Data Science Research Assistant at the Research Center for Modeling & Simulation at NUST.
Projects and Contributions
Afaq Ahmad has managed deployments on Edge devices and Google Cloud Platform for a football sports analytics system. He developed this system to provide actionable insights for training coaches through an in-depth analysis of player interactions. His work also involves collaborating with a global AI company on advanced AI development projects while adhering to confidentiality and quality standards.