A Computer Engineering and Computer Science student at the University of Wisconsin–Madison with a passion for building intelligent systems at the intersection of hardware and AI. With a strong foundation in RTL design, GPU microarchitecture, and scalable machine learning, I enjoy turning low-level engineering into high-impact innovation.
A systems architecture-level thinker who leverages deep RTL/hardware knowledge to drive the design of domain-specific accelerators (DSAs). This involves the following
- Understanding the workload deeply (AI/ML, graphics, healthcare, etc.)
- Knowing what parts of it are bottlenecks
- Designing hardware that mitigates those bottlenecks
- Adhere to performance, memory hierarchy, communication models, and software implications making them implementation guides for teams (RTL, VLSI, verification, compiler)