Yicheng Wang
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolYicheng Wang is a Carnegie Mellon MS in Machine Learning student (Class of 2026) with 11 years of hands-on engineering experience and research published at top AI venues. He blends rigorous ML research—on multimodal AI, human–AI collaboration, and trustworthy generative systems like audio watermarking—with production backend skills in Python, C/C++, Rust enthusiasm, Java, SQL, PyTorch, and cloud tooling (AWS, Docker, Kafka). At Stanford and Rochester he built end-to-end benchmarks and learning pipelines for human–agent collaboration and contributed SOTA work in streaming video captioning and latent-space audio watermarking that preserves quality while enabling provenance. In industry internships he improved real-time messaging, built recommendation retrieval with ChatGPT and FAISS, and engineered reliable data pipelines for analytics and recommendations. Yicheng is pragmatic about shipping robust systems—“code that actually works well”—and picks up new stacks quickly while enjoying cross-disciplinary collaboration. Open to new-grad roles spanning software, ML engineering, data engineering, and full-stack development.
11 years of coding experience
University of Rochester
Github Skills (200)
testing10
material-ui10
cryptocurrency10
svg10
visual-studio10
cpp10
nodejs-server10
spreadsheet10
firefox10
api10
xlsx10
json10
nodejs10
mongodb10
gitbook10
Programming languages (20)
Github contributions (5)
EasonWang01/Redux-LocalStorage
Oct 2016 - Jun 2018
Contributions:7 commits, 6 pushes, 1 branch in 1 year 8 months
EasonWang01/CDN-DNS-Domain-notes
Feb 2016 - May 2023
Contributions:67 pushes, 1 branch, 1 comment in 7 years 4 months
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