Sillage
2026A luxury fragrance house, built end to end with AI.
Brand identity · Art direction · Film
I build full brand worlds and cinematic ads end to end with AI, from concept to finished film. I also build the agentic systems behind the scenes.
I build brand worlds with AI, naming, identity, product, campaign and film, taken from a blank page to a finished, consistent result.
The reason it holds together is the background underneath it. I trained as a mechanical engineer, then spent three years trading equities, derivatives and commodities, where precision and decisions under uncertainty were the whole job. That discipline is why my creative work stays consistent and on-brief, and it's also why I can build the AI systems behind the scenes when a project needs them. I'm a creative who understands what's under the hood.
Full brand worlds built end to end with AI: naming, identity, product, campaign and film. Open one to step inside.
I also build the systems behind the work, production-grade agents, RAG, and automation.
A single-station industrial QC agent that pairs a PatchCore vision detector (0.999 image AUROC on MVTec AD, CPU-only) with a LangGraph plan → act → observe loop. It reads machine, batch, and operator history from a SQLite MES to judge whether a fault is random or systematic, decides pass/rework/reject as a deterministic, auditable function, and escalates low-confidence cases to a human. A drift monitor (OOD gate + PSI) guards the pass path against camera and lighting shift. The LLM only writes the narrative; 88 tests cover the rest.
LangGraph pipeline of Monitor → Diagnostics → Recommendation → Workflow agents that watches industrial pumps, RAGs maintenance manuals via Claude, and files tickets. Deployed on Azure with three MCP servers.
Classifies sentiment and urgency, routes complaints across 7 departments, and generates context-aware bilingual replies. Live Gmail IMAP fetch, SQLite history, and auto-escalation for critical cases.
Conversational drafting tool where Claude asks the next required question, normalizes free-text answers into structured state via Anthropic tool use, and produces branded PDFs with a legal-review disclaimer. Real bcrypt auth, constant-time verify to defeat enumeration, per-user 'My documents' library, and 142 tests across backend and frontend.
LangGraph state machine (plan → search → reflect → answer) over a hybrid vector + BM25 index for German automotive and machinery companies. Five search tools the agent can pick from based on query type.
Production-grade RAG with hybrid dense (BGE) and sparse (BM25) retrieval, RRF, and cross-encoder reranking. It adds an agentic CRAG loop that grades retrieval and decomposes weak queries, three-layer security (prompt-injection guard, content filter, PII redaction), and a reproducible eval harness. The numbers it lands: Hit Rate@5 of 0.96 and Faithfulness of 0.944.
Multi-user trading workstation with real-time Finnhub WebSocket data, simulated $10k portfolios, and a token-streaming Claude assistant that analyzes positions and executes trades from chat.
Pre-market briefing, setup scanner, risk monitor, a plain-English strategy builder with backtests across 54 instruments, security guardrails, a trade journal, and coaching. All of it is orchestrated through Claude, Yahoo Finance, and email.
It's not a linear story, and that's kind of the point. Each chapter taught me something different: precision, making decisions under uncertainty, and the discipline to actually ship.
I moved into AI in 2025, teaching myself and building on top of a mechanical-engineering foundation. These days I ship production systems: multi-agent finance workstations, agentic RAG, predictive maintenance, and conversational drafting tools. Open to full-time and freelance work.
Three years in live markets across equities, derivatives, and commodities. I built strategies, hedged risk in real time, and learned to make decisions when the signal is bad and the cost is real. Honestly, it was the best preparation I could have had for shipping AI agents in production.
Designed mechanical components and full systems in CAD. Owned design reviews, optimized for manufacturability and cost, produced 3D models, drawings and assembly instructions for production.
Master's in Mechanical Engineering, and the rigor it drilled into me still shows up in every system I design today.
Hands-on time on the plant floor. Where the engineering instinct first clicked.
Where it all started.
Full timeline, roles, technical skills, education, and certifications. Updated and ready to share.
This is my general resume. Get in touch for a version tailored to your role.
I'm available for generative AI creative and AI video roles, full-time or freelance, remote or on-site. The fastest way to reach me is email.
Hey, I'm Paul's digital twin. He's a generative AI creative who builds brand worlds and cinematic ads end to end with AI, and he's open to full-time and freelance creative work right now. Ask me anything.