Philippe Lee | AI Builder | AI Deploy Network

About Philippe

Full-stack engineer and AppSec practitioner (5+ years), based in Bangkok and working remote-first. I architected and run bgcbuilding.com end to end (PHP, JavaScript and Python services on hardened Linux behind Nginx and Cloudflare) and have kept it in production for 4+ years with 99.9% uptime.

AI is part of how I build: Claude and GitHub Copilot for prototyping, test generation and refactoring; self-hosted LLMs via Ollama and vLLM; and Cloudflare Workers AI in production.

Most recently I shipped 每日健康监测 (Daily Health), a bilingual phone app whose LLM feature runs on Workers AI (Llama 3.3 70B) behind my own Worker with rate limiting, origin allow-listing and crisis-keyword safety routing, released over 17 tested versions. I care about AI that is fast, safe and clear about what data it sends.

Professional profile

Location: Bangkok, Thailand
Time zone: Asia/Shanghai
Work mode: Remote
Industry experience: 5+ years

Proven on the network

Implementation records and publicly available work, where published.

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

Reported business outcomes

Hours Automated240 hours
period not specified
Automated 240 hours (period not specified)
Cost SavingsUSD 240
period not specified
Reduced operating costs by USD 240 (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

What Philippe builds

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

Specialisations

AI Copilots

AI Infrastructure & Platforms

Prompt & Context Engineering

RAG & Knowledge Retrieval

Builder-listed deployment types

Marketing Automation
Real Estate AI
SEO Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

AI-Assisted Content & Design Production Pipeline (BGCBUILDING ARCHITECTS)

End-to-end AI production pipeline powering BGCBUILDING ARCHITECTS (bgcbuilding.com): AI first-draft copy, automated alt-text and image tagging, structured SEO taxonomy generation and WordPress/Next.js CMS deployment. Per-article cycle ~75% faster wit

240 hours automated / per year · Currency not specified cost savings

Architecture & Engineering · Marketing Automation · Real Estate AI · SEO Automation

View Deployment

Implementation capabilities

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

Evidence-supported

Marketing Automation1 record
Real Estate AI1 record
SEO Automation1 record

Builder declared

AI Copilots
AI Infrastructure & Platforms
Prompt & Context Engineering
RAG & Knowledge Retrieval

Industry experience

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

Architecture & Engineering

1 published Deployment

Management Consulting

Builder declared

Marketing & Advertising

Builder declared

Trust & verification

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

Community Member

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.

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?

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