Summary
Yiming Wang is a software engineer and machine learning practitioner with 8 years of experience building ML, deep learning, and reinforcement learning solutions across industry and research. Currently on Google DeepMind’s GenAI unit working on Gemini post-training, he blends research-grade rigor from Carnegie Mellon with production experience at Google and LinkedIn. His background spans NLP, data-mining, and large-scale model work, with a track record of shipping applied ML systems in both research labs and product teams. Yiming’s path includes internships at SenseTime and research roles at CMU’s LTI, highlighting a strong bridge between academic ideas and deployable systems. Based in the San Francisco Bay Area, he brings international training from Beihang and Maynooth and a pragmatic focus on turning complex ML advances into scalable features. Notably, he combines hands-on model development with experience in post-training model refinement—an often-overlooked step that improves real-world performance.
8 years of coding experience