▲ AI ENGINEER · FULL-STACK · FOUNDER
Maxime Warnault
I ship production LLM systems end to end. Python services, TypeScript / React front-ends, and tool-using agents running on the Cloudflare edge. Engineer plus 8 years as a marketing operator for $1M to $100M founders, so I build AI that moves revenue, not demos.
$100M
Top client revenue
8 YRS
Operator + engineer
462
API routes shipped
34+
API integrations
01
Selected Work
Acquisition OS · Autonomous AI agent
TypeScript · Cloudflare WorkersOne agent that runs content generation, multi-channel publishing, paid ads, and B2B prospecting from a single chat surface.
Anthropic managed-agents + MCP
12-turn agentic loop
retry + local-tool fallback
cost-aware Haiku/Sonnet/Opus routing
25+ typed tools
D1 · KV · R2 · Durable Objects · Workflows
HMAC webhooks
Prospecting Platform · Python lead engine
Python · RailwayDiscovers, enriches, scores, and routes B2B leads into outreach with zero humans in the loop.
7 discovery sources
4-stage waterfall enrichment
custom Claude SDK agent
structured-JSON scoring
self-healing error recovery
34+ API clients
Skalers.io · Full-stack AI product + LMS
Next.js 16 · VercelProduction web app, customer dashboard, and learning platform serving real paying users.
462 API routes
streaming LLM chat (Vercel AI SDK)
credit-metered usage
Supabase SSR + Postgres
Stripe checkout
Bun monorepo · 3 brand sites
Content & video automation
Python · FFmpegParallel render pipeline that turns scripts into captioned avatar videos, end to end.
ElevenLabs TTS + avatar render
FFmpeg compositing
automated loudness QA
LLM-as-judge → rewrite loop
02
Experience
Founder & AI Engineer, Skalers.io / Clients on Demand
2018 → NOW · REMOTE
- Sole engineer behind every system above: agent runtimes, data pipelines, and web apps, plus the infra they run on (Cloudflare, Vercel, Railway, Supabase).
- Installed AI acquisition and back-office systems for founders from $1M to $100M (Russ Ruffino $100M, Brian Moncada $350K/mo, Mike Rama $250K/mo, and 9+ more).
- 8 years as a hands-on marketing and media-buying operator. I build AI that is measured against revenue, CAC, and pipeline.
Full-Stack Engineer, Capgemini
2014 → 2018 · PARIS
- Built and maintained enterprise web and heavy client applications end to end: Angular, .NET, Azure.
- Shipped greenfield projects alongside large-scale maintenance for enterprise clients.
03
Stack
Languages
PythonTypeScriptJavaScriptSQLC# / .NET
AI / LLM
Anthropic SDKmanaged-agentsMCPtool / function callingstructured outputsprompt engineeringcost-aware model routingLLM-as-judge evalagentic loopsretrieval + enrichment
Frontend
React 19Next.js 16Tailwind CSSVercel AI SDK
Backend
FastAPI / webhooksCloudflare WorkersD1KVR2Durable ObjectsWorkflowsContainersVercelRailwaySupabase / PostgresStripeDocker
Practices
distributed systemssystem designBun monoreposend-to-end ownershipobservability + cost tracking
04
Education
Master's, Computer Science & Software Engineering · SUPINFO International University
2014 → 2016