San Francisco, California, United States
Research engineer with 10+ years of experience spanning applied ML research and large-scale ML systems. Proven track record of taking research-grade models to production, including training and serving multi-modal foundation models at scale. Strong background in optimization, reinforcement learning, and systems, with hands-on ownership of distributed training, inference infrastructure, and evaluation pipelines.
- Developed a service to automatically crawl webpages mentioning specific keywords. - Incorporated natural language processing (NLP) for sentiment analysis and automatic summary of collected texts. - Utilized docker and kubernetes to provide a scalable and easily deployable pipeline of frond end and back end services, and seamlessly managing desired services in a pool of AWS computing machines.