Muhammad Azeem Sarwar

Muhammad Azeem Sarwar has a diverse range of work experience in the field of Artificial Intelligence and Machine Learning. Muhammad Azeem is currently working as an Artificial Intelligence Engineer at EcoEdge AI, where they are involved in optimizing HVAC performance and reducing energy consumption using advanced AI and ML algorithms. In this role, they have automated data pipelines and enabled efficient data processing and analysis using AWS cloud services such as S3, Athena, and QuickSight.

Prior to this, Muhammad worked as an Artificial Intelligence Engineer at Sense Digital, where they also focused on AI and ML projects.

In addition to their industry experience, Muhammad has also served as a Research Assistant at Lahore University of Management Sciences. During their time there, they conducted research on machine learning applications, with a specific focus on monitoring blood volume decomposition state in traumatic stress-induced hemorrhage. Muhammad Azeem utilized ensemble learning techniques and wearable sensing data to develop machine learning algorithms for accurate prediction and monitoring.

Muhammad has also worked as an Associate Product Manager at AceLocale - Place of Experts, where they developed effective strategies to ensure product stabilization and market success. Muhammad Azeem managed cross-functional departments and oversaw project budgets to optimize resource allocation.

Furthermore, Muhammad worked as a Content & Academic writer at AceLocale - Place of Experts, where they gained experience in writing dissertations, thesis, assignments, and coding tasks related to computer science and machine learning. Muhammad Azeem also contributed content for blogs and social media posts.

Lastly, Muhammad served as a Research Assistant at Digital Disruption Lab-PIEAS, contributing to a project aimed at building an adaptive traffic signal control system for autonomous vehicles. Muhammad Azeem utilized deep reinforcement learning models and intelligent routing techniques to develop innovative solutions for traffic signal control. Muhammad collaborated with a team of researchers and engineers in designing, implementing, and testing the system.

Muhammad Azeem Sarwar began their education in 2014 at Fazaia Inter College Minhas, where they completed their Matriculation degree in General Science in 2016. Muhammad Azeem then pursued their Intermediate degree in Pre-Engineering from the same institution, graduating in 2018. In 2018, Azeem Sarwar enrolled in the Pakistan Institute of Engineering & Applied Sciences, where they completed their Bachelor of Computer and Information Sciences degree, which they finished in 2022.