👋 Hello, I'm Audrey!
Nice to meet you :)
About me
I'm a software engineer working out of Houston, TX, and excited about the possibilities of building things with code!
I graduated from the University of Pennsylvania, where I studied CS and Linguistics. I started coding for my robotics team in high school and liked it so much I decided pursue a career down that path.
My past experience is quite broad, but I have the most experience with full-stack web development – I do it every day at my current role and have done a great deal of web projects for school, internships, and fun. I also enjoy working in lower-level areas, as I was a TA for three computer systems classes (Intro to Computer Systems, Operating Systems, and Computer Organization & Design). I've done research with the SemAnTICA Lab from DBEI at Perelman School of Medicine and the Architecture and Compilers Group.
In addition to coding, I also love to lion dance and was a longtime member and former president of Penn's team.
Experience
- SLB
- Meta
- Penn CIS
- PennApps
- Perelman
Full Stack Software Engineer @ SLB
August 2023 - present
- Lead development on frontend (Angular.js) and contribute to backend (C++, Argo) for data processing and visualization platform in a team of 2 that incorporates new cloud technologies
- Spearhead team effort to adopt cloud computing framework, assisting both library developers in identifying bugs and new features and teammates starting new cloud-based projects
- Resolve implementation discrepancies and optimize code functionality for team geophysicists’ algorithms
Some things I've built
PennCloud
CIS 505: Distributed Systems
Fault tolerant distributed system with mail and storage services built in a team of 4
C++ • gRPC
PennApps Application Portal
PennApps
Customized system for both applicants and graders that encompassed the entire application, grading, and check-in process.
Django
Can Twitter predict US county-level excessive alcohol consumption?
CIS 530: Computational Linguistics
ML models using language derived features from Twitter data to predict excessive alcohol consumption.
Pandas • Scikit-learn • PyTorch
Check out some of my past projects here.
Say hi!
My email is audrey dot r dot yang at gmail dot com.