Keyword silhouette representing Yilang Wu's engineering and design interests
Portrait illustration of Yilang Wu with a robot

AI engineer and developer platform lead

- Builds AI agents, multimodal applications, RAG systems, and secure deployment patterns.

- Bridges hands-on engineering, research depth, developer enablement, and responsible-AI judgment.

Yilang Wu standing near a river in Niigata

I turn emerging AI capabilities into practical products and developer platforms.

I am a developer-focused AI engineer and technical lead with 15+ years across software engineering, AI research, and full-stack application delivery. My work connects AI agents, multimodal workflows, reusable developer platforms, secure deployment patterns, and enterprise-grade product execution.

I build end-to-end AI applications across document intelligence, finance, medical imaging, biomarker analysis, knowledge systems, and multimodal interaction, while translating technical tradeoffs into implementation guidance for engineering and business stakeholders.

My collaboration style combines hands-on prototyping, architecture design, product discovery, technical writing, workshops, and responsible handling of sensitive data and human approval flows.

I work comfortably across Japanese, English, and Mandarin-speaking teams, with experience supporting enterprise customers, listed companies, universities, and research institutions across multiple regions.

  • Website : https://yilang.me
  • E-mail : y-wu_AT_ieee.org
  • City : Tokyo, Japan
  • Focus : AI Agents & Developer Tooling
  • Degree : Doctor of Science
  • Status : Employed
15

Years in AI & Software

5

Granted Patents

7

Selected Publications

4

AI Solution Domains

Core competencies for building with AI in real organizations.

I help teams move from exploratory prototypes to governed workflows by combining model capability, application architecture, security controls, evaluation, and user-centered delivery.

  • AI Agents, Tool Use, and RAG
  • Multimodal Document Intelligence
  • Secure AI Gateways and Model Routing
  • Developer Tooling and Technical Workshops
  • Responsible AI and Human Approval Flows

AI Engineering Skills

Python, FastAPI, and AI Application Backends
100%
LLM Apps, Agent Tool Use, and RAG Workflows
95%
TypeScript/JavaScript, Vue, and Full-stack Interfaces
85%
Secure AI Gateways, Model Routing, and Guardrails
55%
Cloud Deployment, Docker, CI/CD, and Observability
45%
Multimodal Prototypes and Spatial/XR Applications
35%

Language

English Fluent
Japanese Professional
Mandarin Chinese Native
Wenzhounese Native

Technical Stack

AI Agents and RAG

LLM applications, agent orchestration, tool use, retrieval-augmented generation, prompt/context engineering, evaluation, and guardrails.

Developer Tooling

Codex-assisted development, MCP, LangGraph, LlamaIndex, APIs, sample applications, reference architectures, technical demos, and workshops.

Secure AI Platforms

AI gateways, intelligent model routing, authentication, policy enforcement, WAF/Zero Trust patterns, audit logging, and human approval controls.

Data and Knowledge Systems

PostgreSQL/pgvector, Neo4j, enterprise data integration, structured extraction, analytics pipelines, semantic retrieval, and knowledge workflows.

Multimodal AI

Document-image-audio workflows, medical imaging, biomarker analysis, and spatial/XR prototypes that connect models with expert review and reporting.

Full-stack AI Applications

Python, FastAPI, TypeScript/JavaScript, Vue, Flutter, Docker, AWS, Azure, testing, and observability for production-minded delivery.

Cloud and DevSecOps

AWS, Azure, Docker, CI/CD, DevSecOps, access control, monitoring, sensitive-data handling, and security-aware deployment practices.

Enterprise Collaboration

Cross-functional discovery, implementation support, stakeholder communication, multilingual technical explanation, and iterative product feedback.

Responsible AI Design

Sensitive-data handling, evaluation, auditability, approval workflows, user empathy, and practical risk controls for AI systems.

Research and Publications

Peer-reviewed work in big data, disaster-awareness systems, data management, activity awareness, computational design, and applied machine learning.

Education

2013 - 2016

The University of Aizu - Japan

Doctor of Science in Computer Science and Engineering

2009 - 2011

The University of Aizu - Japan

Master of Science in Computer Science and Engineering

2005 - 2009

Harbin Institute of Technology / Technological University Dublin

Joint B.Eng. Program in software and computer engineering

2005 - 2009

TU Dublin (Dublin Institute of Technology) - Ireland

Joint program with international study experience in Ireland

Experience

Oct. 2018 - Present

Senior AI Engineer / Scientist; Head of AI Platform
PKUtech Co., Ltd. (Tokyo, Japan)

Lead AI model, platform, and application R&D from technical discovery through prototype, deployment, and enterprise adoption. Build reusable agent, RAG, document-intelligence, multimodal, and AI-platform components with security, approval, and monitoring in mind.

Key technical contributor to granted technology and design patents, including two Japanese patents as named inventor.

Oct. 2016 – Sep. 2018

Visiting Researcher (PostDoc)
The University of Aizu (Aizu-wakamatsu, Fukushima, Japan)

Conducted disaster-resilient networking research through international collaboration, with peer-reviewed work in big data, emergency communication networks, and scientific data systems.

Jul. 2013 – Sep. 2016

Project Manager (Remote/Parttime)
Duroingu Tech. Co., Ltd. (Hangzhou, Zhejiang, China)

Managed web and mobile application projects for research-oriented customers, coordinating distributed engineering work and collaboration infrastructure across cloud-hosted tools.

Oct. 2011 – Apr. 2013

Software Engineer
Eyes, JAPAN Co. Ltd. (Aizu-wakamatsu, Fukushima, Japan)

Worked as a web and mobile application developer, including IT initiatives supporting recovery and reconstruction after the 2011 Great East Japan Earthquake.

Portfolio

See My Non-affiliated R&D Work
AI BOSS Business Connectivity Platform

Created a public-facing business relationship platform that helps people present credible value, organize relationship context, match service providers, and move collaboration forward with human-confirmed next steps.

L. Huang Atelier Digital Gallery

Designed and built a multilingual art-gallery and collector workflow around artwork-first viewing, guided interpretation, searchable collections, provenance-aware inquiries, and a linked virtual gallery experience.

Get in Touch

Mail Me
y-wu_AT_ieee.org
Nearest Station
Sakura-shinnmachi Station, Setagaya, Tokyo, Japan