I'm passionate about bridging the gap between cutting-edge AI research and practical engineering applications. Currently working as an AI Engineer at IBM, I specialize in developing production-ready AI solutions using large language models and machine learning systems.
My work focuses on creating scalable AI solutions that can be implemented across industries, from healthcare and biotechnology to manufacturing and automation. I have experience with neural networks, computer vision, and real-time AI applications.
When I'm not coding, I enjoy leading technical initiatives as President of the IEEE student chapter at Penn State, where I organize competitions and foster innovation among engineering students.
The Pennsylvania State University
Minor in Mathematics & AI Engineering
GPA: 3.6/4.0
Expected Graduation: December 2026
Deep learning architectures, backpropagation, and neural network optimization
AI implementation on embedded platforms and real-time processing
Advanced algorithms, complexity analysis, and efficient data structures
Analog and digital circuit design, simulation, and analysis
Computer architecture, processor design, and system organization
OS kernel development, process management, and system programming
1st Place - AI Course Scheduler and Advisor Project
Qualified for FIRST Robotics World Championship
President - Institute of Electrical and Electronics Engineers