Shih-ming Wang is a software engineer with 14 years of experience focused on applied AI and scalable ML systems, currently at Google DeepMind working on Gemini App's evaluation infrastructure and LLM-based AutoRater for tool-using agents. He has a track record across Google teams — from Pixel camera HAL algorithms and auto white balance to end-to-end media recommendation pipelines for Assistant and template-driven YouTube Ads generation — blending low-level systems work with large-scale ML production. Comfortable owning full ML lifecycles, he bridges data and feature engineering, model development, deployment, and online experimentation to measurably improve product quality and revenue. He holds two MS degrees in Computer Science (UC Santa Cruz and National Taiwan University) and is based in San Jose, often pursuing practical on-device ML alongside cloud-native agent systems. An engineer who moves fluidly between embedded camera firmware and LLM evaluation tooling, he seeks new applied AI challenges that combine research insight with production rigor.
13 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at National Taiwan University
Contributions:33 commits, 30 pushes in 7 years 6 months
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