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.