Abrar Rouf is an accomplished Tech Lead with expertise in software development, artificial intelligence, and machine learning. He holds a Master’s in Computer Science from Georgia Institute of Technology, specializing in AI, machine learning, and computer networks, and a Bachelor’s from New Jersey Institute of Technology, graduating Magna Cum Laude with Honors.
With a strong foundation in data-driven decision-making and intelligent systems, Abrar has implemented machine learning models, including Decision Trees, Random Trees, and ensemble learning methods, to analyze performance metrics and optimize predictive accuracy. His leadership experience includes guiding development efforts for a medical equipment tracking module, leveraging Laravel, AWS, and GitHub to build scalable solutions.
His technical expertise spans Python, C++, C#, NumPy, Pandas, Scikit-learn, and cloud-based infrastructure, with a focus on AI-driven automation, predictive analytics, and software optimization. Passionate about innovation, Abrar is dedicated to advancing AI-powered applications and enterprise technology solutions.