Summary
Nancy Hung is a software engineer with a decade of experience building production AI/ML and cloud platforms, currently focused on pre- and post-training infrastructure for large-scale models at Reflection AI. She helped design and launch the first finetuning API product through MosaicML and Databricks, translating research-grade models into enterprise-ready GenAI services. Her background spans production risk systems at Stripe, performance and data infrastructure at Nuna, and deep learning research at MIT, giving her a rare blend of model tooling, distributed systems, and data engineering expertise. Based in San Francisco, she excels at bridging research and production—shipping resilient, scalable ML features and orchestration for real-world decisioning. An early Pear Builders alum and former AI fellow, she brings both startup grit and platform-level product experience to complex AI systems.
10 years of coding experience
6 years of employment as a software developer
Computer Science Biomedical/Medical Engineering, Computer Science Biomedical/Medical Engineering at Massachusetts Institute of Technology
High School Diploma, High School Diploma at Presentation High School
English, Chinese, Spanish