Hardware Engineer I (Intern),
Cisco Systems
June 2026 – September 2026
Currently doing all sorts of fun stuff with Cisco's Enterprise Hardware Switching team!
Particularly in test automation, hardware validation, virtualization/infrastructure
consolidation, web design and development, large-scale databases, and data analysis
("AI Ready"-ifying test data, as the team likes to put it). I've also worked with a few
colleagues to submit a patent proposal to the company patent committee, after we won
Cisco's Innovation 2026 (a patent design contest for interns, co-ops, and early-career
employees), under the guidance of
Cisco Fellow Joel Goergen
(really cool guy)!
I will say that although this is officially a hardware engineering internship on a hardware
team, I've mostly been brought on to do (and assigned) software engineering work.
I'll update this section with more specifics after I've completed my internship! If you already have
my resume, the details on there are probably more specific and up-to-date than what's written here.
Under the guidance of Research Assistant
Ugur Demir and Professor Aggelos K. Katsaggelos of Northwestern University, I worked on
a cost-effective video generation framework for flexible spatial and temporal outputs using
pre-trained generative AI models. I developed a GPU sharding solution in Python and PyTorch to
efficiently utilize NVIDIA A6000 GPUs, improving the scalability of training generative AI video
models. Our team's solution allows researchers to generate videos at arbitrary spatial and
temporal resolutions without the need for expensive retraining of existing models.
I presented my team's results at the
International Conference on Computing, Networking, and
Communications (ICNC) 2025 in Honolulu, Hawaii.
See Publications for more details.