I’m an AI Engineer and graduate student in Artificial Intelligence with a passion for building scalable, real-world AI systems. My background combines machine learning, data engineering, and software development, with experience spanning academic research and industry applications.
I enjoy working on problems at the intersection of Generative AI, deep learning, and intelligent multi-agent systems — always aiming to design solutions that are not only technically robust but also impactful in practical settings.
I’m currently pursuing my Master’s in Artificial Intelligence at the University of Michigan, Dearborn (GPA 4.0/4.0) and have prior industry and research experience in areas like data pipelines, ML model optimization, and AI integration.
Outside of academics and work, I’m deeply interested in open-source collaboration, applied AI projects, and continuous learning — whether that’s experimenting with new frameworks, reading research, or contributing to technology communities.
🥇 Winner of Hack Dearborn Interactive Media Challenge
📜 Certified Applied Machine Learning Engineer (University of Michigan, Coursera)
🐍 PCEP Certified Python Developer
