LEO YANG
PORTFOLIO🤖ai.maker23 422 pointsMath + CS Major · AI Product
Featured Projects
About Me
Hi, I'm Leo Yang
AI Product · Mathematics + Computer Science
I'm focused on AI product work — how AI actually enters a business process, and how complex technology becomes something usable, verifiable and continuously improvable.
From requirement breakdown and AI solution design to Agent / Workflow architecture, prototyping and data validation, I like being part of the full 0-to-1 journey of a product.
0-to-1 AI product delivery
Engineering fluency from a technical background
Data-driven product judgement
Build Ideas Into Reality.
Technical Toolkit/ TOOLKIT
Education & Languages
Washington University in St. Louis
Mathematics & Computer Science
USNEWS US #16 · World #32
Expected May 2027
Languages
English
Working language
TOEFL 118 / 120
Japanese
Everyday simple communication
Beginner
Experience

JD.com
AI Product Manager (Intern)
2026.03 – 2026.07
Marketing Campaign AI Automation Platform0 → 1
What I did
- 01
Built the platform, owned its lifecycle
Built a marketing-campaign AI automation platform from 0 to 1, owning the full lifecycle of its Workflow + Multi-Agent system.
- 02
Designed a 9-agent collaboration architecture
Designed a 9-agent collaboration architecture covering planning, product selection, budget strategy, approval monitoring, design and page building.
- 03
Designed workflow orchestration
Designed the workflow orchestration layer using phase, agent and parallel primitives for state and concurrency.
- 04
Designed a three-tier memory system
Designed a three-tier memory system (session, project, enterprise) so learnings compound across campaigns.
- 05
Proposed and shipped the design agent
Proposed and shipped the design agent — the 9th agent — closing the visual-asset gap in the pipeline.
Project outcomes
- Build cycle
- 5-10 days → 3 days
- AI product-pick adoption
- 93%
- Campaign click conversion
- 5.71% → 7.08%
- Effort per campaign
- 25 → ~7 person-days

eBest Mobile Technology Private Limited
Project Assistant (Intern)
2025.06 – 2025.08
- Supported delivery of the Swire Coca-Cola sales management platform across APAC markets.
- Joined 10+ cross-market requirement sessions and clarified 10+ ambiguous requirements.
- Wrote bilingual BRDs, set up test environments and validated core functional modules.
- Tracked ~30 requirements with 100% on-time delivery and positive client sign-off.

Washington University in St. Louis
CSE 3407 Algorithms — Teaching Assistant
2025.08 – 2026.05
- Independently ran a 25-student recitation, teaching 2 hours weekly on problem solving, algorithm analysis and proofs.
- Broke complex problems into clear steps and guided students through the full solution path.
- Held weekly office hours and spent 3+ hours a week preparing lecture material.
- Graded homework and exams, returning feedback to professor and students within deadline.




