Yanda Cheng
PhD in Machine Learning & LLM Engineer | Biomedical Engineering | Open-Source Contributor @ SGLang
- Role
- Open-source Contributor at Sglang
- Location
- Ithaca, NY, US
- LinkedIn followers
- 500 followers
About Yanda Cheng
I’m an AI/ML Engineer with a PhD in Biomedical Engineering, focused on building reliable, production-grade intelligence across IoT and healthcare systems.At HydroSense Tech, I led the launch of large-scale IoT data pipelines and embedded ML analytics, enabling real-time sensing, OTA updates, and cloud integration for thousands of deployed devices.I’ve also developed scalable ML pipelines for clinical imaging and LLM-based QA systems, covering data ingestion, model training, API deployment, and distributed inference.Skilled in PyTorch, FastAPI, Docker, AWS, Airflow, and PostgreSQL, with strong experience in system design, model serving, and full-stack ML deployment.Passionate about turning AI research into robust, maintainable, and impactful software systems
Experience
Open-source Contributor
Jul 2025 — Present
Contributing to SGLang, a high-performance inference framework for serving large language and multimodal models.• Fixed concurrency and file descriptor leaks in the HTTP module.• Participated in code review discussions, CI debugging, and pre-commit testing.• Improved system reliability and scalability for distributed inference workloads.Open-source contributor focused on enhancing the performance and robustness of LLM serving infrastructure.
Education
University of Kentucky
Bachelor's degree, Electrical and Electronics Engineering
2015 — 2020
University at Buffalo
Doctor of Philosophy - PhD, Biomedical/Medical Engineering
2021 — 2025
Cornell University
Master of Engineering - MEng, Biomedical/Medical Engineering
2020 — 2021
University of International Business and Economics
Summer Intern, Mathematics
2016 — 2016
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