Max Chang
@maxchang
Staff software engineer building production GenAI and privacy-aware personalization.
United StatesWhat I'm looking for
I build production AI systems end-to-end—model integration, retrieval, evaluation, monitoring, and safety/privacy-aware product design. As a Staff Software Engineer at Google DeepMind, I’ve led staff-level Gemini App engineering for model launches and consent boundaries, shaping serving architecture, agentic workflows, and Personal Intelligence powered by Gmail, Photos, YouTube, and Search.
Previously at Google, I drove the evolution from Google Assistant to Bard to Gemini App by owning conversational and generative AI architecture, quality evaluation pipelines, and low-latency serving for global-scale products. I also bring domain rigor from my Data Scientist work at Guardian Analytics, where I built explainable real-time fraud models—skills I now apply to reliable AI behavior, observability, and trustworthy user experiences.
Experience
Work history, roles, and key accomplishments
Owned staff-level GenAI product engineering for Gemini model launches and privacy-aware personalization in the Gemini app, spanning model integration, serving, agentic workflows, retrieval, evaluation, and safety-sensitive design. Led architecture and quality strategies that improved model routing, streaming delivery, and trust through observability and launch criteria.
Owned architecture, evaluation, and serving systems across conversational and generative AI products, helping drive the evolution from Google Assistant to Bard and the Gemini App at global scale. Led improvements in NLU/dialogue systems, low-latency infrastructure, quality evaluation pipelines, and retrieval-aware grounding with safety checks.
Data Scientist
Guardian Analytics
Aug 2013 - Mar 2017 (3 years 7 months)
Built statistical and behavioral fraud models for banking risk across online banking, ACH, wire transfers, and debit activity with real-time scoring and explainable risk signals. Developed probabilistic risk logic and supported both real-time and batch scoring workflows to improve detection of compromised accounts and enable analyst investigations.
Education
Degrees, certifications, and relevant coursework
Stanford University
Master of Science, Financial Mathematics
2011 - 2013
Earned an M.S. in Financial Mathematics from Stanford University from 2011 to 2013.
Stanford University
Bachelor of Science, Mathematics
2009 - 2013
Earned a B.S. in Mathematics from Stanford University from 2009 to 2013.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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