D'aube Sonntag | AI Builder | AI Deploy Network

About D'aube

Founder and AI Systems Builder at D’AUBE SONNTAG, an independent AI-native engineering practice based in Vietnam. I design and implement AI automation, agentic workflows, API and webhook integrations, cloud deployment systems, and production-oriented digital infrastructure. My work focuses on reliable orchestration, validation, observability, testing, deployment verification, documentation, and human-governed automation.

Professional profile

Location: Dong Nai, Vietnam
Time zone: Asia/Saigon
Work mode: Remote
Availability: Available Now
AI experience: 1+ years
Industry experience: 2+ years
Languages: Vietnamese, English
Working hours: 09:00–18:00 ICT (UTC+7), Mon–Fri; async delivery outside these hours
Typical response: Within 24 hours
Available in: Vietnam

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

What D'aube builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

AI Agents

AI Infrastructure

Autonomous Agents

Prompt Engineering

Builder-listed deployment types

AI Agent

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

D’AUBE // BRIDGE² — Universal AI Skill Compiler & MCP Bridge

Open-source AI interoperability compiler that turns one portable YAML capability spec into 15 auditable artifacts across 7 target families, including MCP, OpenAI/Codex, Claude, Gemini, DeepSeek, Meta/Llama and Chromium.

Software & SaaS · AI Agent

View Deployment

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

AI Agent2 records

Builder declared

AI Agents
AI Infrastructure
Autonomous Agents
Prompt Engineering

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

GitHub Actions2 records
Python2 records

Builder declared

Cloudflare AI Gateway
Docker
GitLab CI/CD
JavaScript

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Software & SaaS

1 published Deployment

E-Commerce

Builder declared

IT Services & Systems Integration

Builder declared

Professional Services

Builder declared

Retail

Builder declared

Case Studies

Published narratives of implementation and results.

Software & SaaS · AI Agent

D’AUBE // BRIDGE² — Universal AI Skill Compiler & MCP Bridge

D’AUBE built BRIDGE² to reduce duplicated integration work across incompatible AI agent ecosystems. A single validated YAML capability specification now compiles into auditable provider-specific artifacts across seven target families.

Read case study

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Community Member

AI Case Studies verified

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works

Community

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

AI Case Studies Verified

How this is verifiedWhat the platform has established, and what remains builder-declared.

Identity and organisation: Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments: An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes: Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence: Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency: Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability: Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Ready to discuss your AI implementation?

Tell D'aube Sonntag what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.