Shotaro Ikeda
Software Engineer at Google Ads
Champaign, Illinois, United States
Summary
👤
Senior🎓
Top SchoolShotaro Ikeda is a software engineer with 11 years of experience who applies machine learning to improve large-scale user experiences at Google Ads. He has a strong research foundation in deep neural networks and reinforcement learning from undergraduate work with Professor Alexander Schwing and now productionizes models that reduce serving costs and improve relevance. At Google he distilled large BERT models and launched a compact deep model that cut serving costs by 50%, demonstrating strength in model compression and pragmatic engineering trade-offs. Earlier roles span data analysis, web and iOS development, and teaching—reflecting versatility from backend ML systems to product-facing features. Based in Champaign, Illinois, he blends academic rigor with production impact and a knack for identifying blind spots in deployed models. Colleagues describe him as someone who moves smoothly between research ideas and cost-conscious, deployable solutions.
11 years of coding experience
3 years of employment as a software developer
University of Illinois Urbana-Champaign
English, Japanese
Github Skills (32)
deep-q-network10
ios9
openai-gym9
floating9
swift9
q-learning9
deep-reinforcement-learning8
liquid7
machine-learning7
reinforcement-learning7
python7
openai6
android6
tensorflow6
material-ui6
Programming languages (4)
Github contributions (5)
shotaroikeda/EmacsConfig
Apr 2015 - Nov 2021
Contributions:244 commits, 198 pushes, 9 branches in 6 years 8 months
shotaroikeda/shotaroikeda.github.io
Feb 2016 - Dec 2017
Contributions:89 pushes, 1 branch in 1 year 10 months
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