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AI Product Engineer
Built agent-facing workflows, evaluation surfaces, and production interfaces for complex AI features.
AI product engineer
BobbyWang
I build agentic products, evaluation workflows, and web interfaces that feel calm while doing technically serious work.
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Profile01
AI product engineer focused on agents, evaluation, and clear product systems.
This section is for the short summary: who you are, what kind of problems you work on, and the strongest one-sentence version of your technical identity.
Tech stack02
Tools used often
Core technologies and product surfaces.
TypeScriptReactNext.jsNode.jsPythonPostgresLLM APIsRAGEvaluationComputer visionThree.jsCloud infra
Experience03
Work history
Where you worked and what you owned.
Product team placeholder
Full-stack Engineer
Shipped full-stack product experiences across frontend systems, backend APIs, and operational tooling.
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Software Engineer Intern
Worked on internal tools, data flows, and user-facing improvements with measurable product impact.
Projects04
Selected builds
Projects that show the work in motion.
AI product system
Agentic Workflow OS
A planning surface where agents turn messy goals into visible steps, decisions, and handoffs.
Next.js / LLM APIs / PostgresLLM application
Realtime Research Copilot
Search, synthesis, citations, and decision trails inside one calm workspace.
RAG / Evaluation / Product UXCreative prototype
Vision Interface Lab
Browser-native visual tools for inspecting, comparing, and editing generated media.
Vision / Canvas / Three.jsApproach
How you build intelligent products.
This section is for the part a resume usually cannot express well: your taste, technical judgment, and working principles.
01Systems
Make AI behavior visible through states, traces, and clean handoffs.
02Evidence
Use evaluation loops and product signals before treating a demo as real.
03Craft
Keep interfaces quiet enough that the important decisions are easy to see.