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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 Workers

One 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 · Railway

Discovers, 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 · Vercel

Production 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 · FFmpeg

Parallel 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