Network Security

I have a certificate I received after taking courses covering Linux, network security, and TCP/IP. When I interned at Axiado I developed an automation tool that would take packet flow descriptors as input, and output these flows both as raw bytes to be used in simulation, or as packets that could be sent over the wire. The following Summer, I used this tool to test a firewall's packet parser. This testing not only involved creating network traffic the chip would encounter during normal operation, but also packets with exotic headers, and even simulated cyberattacks!

Computer Architecture

At Cadence Design Systems, I developed an automation tool to create memory wrappers, i.e. combine smaller DRAM blocks into larger ones. I also have experience with programming in CUDA C++ for the Nvidia A100 from when I worked at OpenEye Scientific. During my internship at Arista Networks, I designed a C++ data structure to decode registers in switching ASICs. I read the chip's technical specifications, and architected a system that could translate the information encoded in these register to a format that could be processed by Linux processes that needed to act on this information. UCSB I took a computer architecture class that covered cache designs, paging, and branch prediction.

Machine Learning

Last year, I worked under Professor Arpit Gupta on applying machine learning to computer networks. We developed an LLM agent to diagnose network issues (e.g. low signal strength) and suggest a solution (e.g. moving closer to the wireless access point). My contributions were building the infrastructure for this tool to make it RAG-capable and developing network measurement pipelines. We published our results on arXiv here. This Fall, I'll be taking an optimization course - one that covers some of the math and statistics used in deep learning.

Resume

You can find my resume here.