Hi, I'm FEIYU CHEN - AI Engineer at Google
I am driven by the potential of AI to automate the mundane and elevate human creativity. I thrive where deep engineering meets innovative product design, constantly pushing to build smarter, agentic systems.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Delivered robust data analytics and engineering solutions during tenure at YouTube.
Spearheads the integration of Gemini with external extensions through advanced agentic engineering.
Offers expert guidance on building production-ready AI applications and efficient machine learning infrastructure.
🚀 Career trajectory
Foundational Engineering
Started in embedded software at Panasonic, gaining deep exposure to hardware-software constraints.
✦ Embedded Systems
✦ C++
Scaling Global Data
Moved into data engineering and technical solutions at Google and YouTube, managing large-scale infrastructure.
✦ Data Engineering
✦ Scalability
AI & Agentic Evolution
Focusing on the Generative AI revolution and agentic systems, enabling deep model integration.
✦ Generative AI
✦ Gemini
💪🏻 Superpowers
Agentic System Architecture
Designing intelligent interfaces that bridge LLMs with real-world tools.
✦ Architects multi-modal integrations using MCP and Google Gemini.
✦ Engineers scalable pipelines for complex LLM-to-tool communication.
✦ Optimizes agentic workflows for reliability and latency.
Data-Driven Engineering
Transforming raw analytics into high-impact infrastructure.
✦ Translates complex data patterns into actionable product insights.
✦ Builds robust analytics foundations for high-traffic global platforms.
✦ Balances technical rigor with core business logic requirements.
Technical Translation
Translating research-grade AI into production-ready software solutions.
✦ Communicates high-level technical roadmaps to diverse cross-functional teams.
✦ Simplifies complex AI concepts for scalable product implementation.
✦ Bridges the gap between research scientists and engineering teams.
I'm excited about
✦ Exploring new partnerships in the AI ecosystem to build autonomous agents.
✦ Connecting with peers to share learnings on LLMOps best practices.
✦ Discovering emerging communities focused on the future of human-AI collaboration.
I can help with
✦ Provide technical guidance on implementing Gemini-based agentic workflows.
✦ Advise on scaling data infrastructure for machine learning applications.
✦ Mentor engineers looking to bridge the gap from data roles into AI.
I would love your help on
✦ Insights into emerging frameworks beyond MCP for system-model communication.
✦ Connections with startups building unique agent-based product use cases.
✦ Advice on navigating the evolving landscape of AI-focused product management.