About Me
Tl;dr:
- I’m Bill Zhang, Statitics & CS major at UIUC
- Interested in low level & (scalable) systems, have experience in AI/ML
- I’ve done internships in the past, but I’m still exploring what I really want to do
Hi!
My name is Bill Zhang! As mentioned on my home page (and above), I am currently a senior at the University of Illinois Urbana-Champaign (UIUC) studying Statistics & CS , a single blended degree where I take the core classes from both the Statistics sequence and the Computer Science sequence–still leaving left over time to take whatever electives I want in either field.
Throughout my years of colleges, I gained experience in multiple disciplines of computing. Right now, I have the most experience in AI/ML, systems, and backend, but theres many other fields I want to explore. I am quite interested in anything scalable—especially if its for AI/ML. Another one of my interests is writing code for low-latency or big data applications, such as high frequency trading. Currently, I’m still exploring what I really want to do.
Although I’m super passionate about CS, I enjoy photography, playing badminton, biking, and urban exploration in my free time.
Work Experience
- Meta : Incoming Software Engineer Intern | May 25 - Aug 25
- Capital One
: Machine Learning Intern (Tech Incubator
) | Sep 24 - Mar 25
IFX APEX Recommendation Team- Worked on engineering and optimizing a pipeline to generate multimodal embeddings to increase accuracy of a previously single-modal transformer recommedation system, while training models to determine their effectiveness
- CME Group
: Software Engineer Intern | May 24 - Aug 24
Enterprise Credit Controls Team- Refactored a distributed credit processing application to remove Redis and Consul external dependencies, preparing the team to migrate to Google Cloud, allowing us to utilize more parallel instances and implement an auto-scaling mode
- Milliman
: Software Developer Intern | May 23 - Aug 23
M-PIRe Platform Team- Modernized and parallelized a testing system that validates loan prediction models on various classes of inputs, and developed an automated API testing pipeline