As a Senior Systems Software Engineer at NVIDIA since January 2022, I have played a pivotal role in the development and delivery of cutting-edge GPU technologies, including the Hopper, Grace Hopper, and Blackwell architectures. These projects underscore my expertise in parallel computing, concurrency technology, and AI-enhanced systems, achieving significant advancements in computational efficiency and design. 

 

My academic credentials include a Master of Science in Electrical & Computer Engineering and a Master of Science in Data Science from the University of Michigan. During my time as a Graduate Student Instructor for the EECS 442 Computer Vision course, I developed and delivered complex problem sets and discussions that deepened students’ understanding of critical technological concepts, from AI algorithms to neural networks. 

 

Furthermore, my role as a judge in various technological and innovation awards, like the Globee® Awards for Disruptors and Technology, and Technovation Girls, reflects my commitment to advancing the field through critical evaluation and mentorship. I also judged in various hackathons focusing on Interactive Educational Games and AI-Powered Mental Wellness Support Chatbots, illustrating my commitment to promoting innovation. My judging responsibilities have honed my skills in technology communication, analytical capabilities, and leadership. 

 

My research contributions, particularly in stress detection using physiological signals for driver assistance systems, have been recognized in significant publications and cited for their impact on AI applications in real-world settings.