Hi, I'm Shutong Li - Senior Software Engineer at Google
I am driven by the potential for AI to make daily life more intuitive. I thrive at the intersection of complex systems and human experience, building tools that are both powerful and inherently useful.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Completed a doctorate degree and contributed as a visiting researcher at Kyoto University.
Currently building AI-powered tools as a Senior Software Engineer at Google.
Offers expertise in transitioning complex research projects into usable, large-scale consumer software products.
🚀 Career trajectory
Academic Foundation
Built expertise through a PhD and international research collaboration at Kyoto University.
✦ Research
✦ Deep Learning
Technical Advancement
Progressed from intern to Senior Software Engineer at Google, mastering product-scale AI development.
✦ Software Engineering
✦ AI Development
💪🏻 Superpowers
Technical Architect
Bridging academic rigor and production-grade engineering
Architects scalable solutions from research-grade prototypes.
Translates theoretical machine learning into stable toolsets.
Product-Centric Engineer
Prioritizing human-centric utility in AI development
Focuses on usability as a core engineering KPI.
Designs software features that prioritize end-user workflows.
Cross-Domain Researcher
Applying global perspectives to software innovation
Leverages international research experience to solve edge cases.
Integrates academic findings into standard software cycles.
I'm excited about
Discovering emerging AI startup ecosystems for collaborative synergy.
Engaging with professionals building the next wave of useful AI.
Expanding my reach into cross-disciplinary technical communities.
I can help with
Providing technical mentorship for researchers transitioning into industry roles.
Sharing insights on scaling AI tools for global user bases.
Advising on the transition from academic research to software engineering.
I would love your help on
Connecting with experts in niche AI application domains.
Learning about emerging standards for user-focused AI interfaces.
Identifying unique gaps where AI can solve persistent consumer problems.