Agentic AI & Multi-Agent Orchestration
Multi-agent copilots that translate natural language into governed reads and human-approved transactions — 300+ business operations live on Azure and AWS.
AI Transformation Leader · Montréal, Canada
I make enterprises AI-native.
Portfolio AI Lead at Valsoft & Edelweiss Software Group — agentic AI expert and senior software engineer. I take multi-agent systems from strategy to production, and make AI ROI measurable.
fig. 1 — live embedding space · edges = cos(θ) ≥ 0.72 · drag to steer the query vector
scroll to explorethe most advanced tools on the market — in production, not on slides
01 · about
I help organizations become AI-native — transforming how their products work and how their people perform. As Portfolio AI Lead at Valsoft and Edelweiss Software Group, I lead AI transformation across a global portfolio of vertical software companies, taking agentic AI from strategy to production: governed data access, human-approved actions, and LLMOps telemetry that makes AI ROI measurable.
My daily toolkit: multi-agent orchestration, tool calling, structured outputs, RAG grounding, human-in-the-loop design and AI evaluation. I manage AI as a product portfolio — prioritization matrices, KPI tracking and rigorous ROI evaluation decide what ships.
Before that, I advised government agencies on AI, co-authored winning multi-million-dollar grant proposals, built a Prix Octas 2025 award-winning AI curriculum — and spent a decade shipping large-scale software at Playtika, Ludia, Ubisoft, CAE Healthcare, Dassault Systèmes and Genetec.
02 · method
A five-step operating system I install inside organizations — from first audit to compounding, measured returns. People included, not replaced.
Map where AI actually moves your P&L — workflows, data, people. You leave with a prioritized opportunity map.
output: opportunity mapA production-grade pilot in weeks, not quarters — with evals and an honest benchmark from day one.
output: measurable pilotGateway, governance, telemetry: the rails that make AI safe, auditable and affordable at scale.
output: AI railsTrain every individual on the most advanced tools on the market — AI-native ways of working, role by role.
output: AI-native teamRoll out across products and teams, compound the gains, and keep score with KPIs leadership trusts.
output: compounding ROIorchestrator --live
This is what work feels like after the transformation — you state the goal, governed agents do the legwork, and humans approve what matters. Replayed here exactly as it runs in production.
Animated demo: a mission — “close the books 3 days faster” — is dispatched to five governed AI agents that analyze the ERP, build and review a workflow, pass a 98.4% benchmark, and finish with a human approval gate: 3 days of work compressed to 4 hours.
architecture --blueprint
The governed rails I install: one gateway, one orchestrator, a fleet of specialized agents — every request metered, evaluated and auditable. Watch the packets flow.
03 · expertise
Production AI, not demos — every capability below is live inside enterprise products today.
Multi-agent copilots that translate natural language into governed reads and human-approved transactions — 300+ business operations live on Azure and AWS.
Retrieval-augmented systems that answer from your data, not vibes: FileSearch stores per ERP, grounded SQL, data validation, and guided next steps operators actually trust.
Centralized LLM gateways that normalize providers and meter tokens, cost and latency per tenant — billing, audit and ROI built in. Eval-gated releases and SOC 2 readiness.
From beta rollouts to licensing, installers, demo environments and sales enablement — AI capabilities turned into revenue-generating product lines.
Orchestrating AI coding agents — Claude Code, Codex, Gemini — through structured, adversarial multi-round reviews. Delivery timelines compressed from months to weeks.
AI conference speaker and instructor. Prix Octas 2025 award-winning curriculum, corporate AI training, and hiring engines for AI & Forward Deployed Engineers.
cosine_similarity(skills)
Hover a skill — the others light up by cosine similarity, computed live in your browser. This is exactly how retrieval finds meaning in an embedding space.
live cosine similarity · hand-crafted 8-dimensional embeddings · no GPUs were harmed
04 · trajectory
A career that reads like a training run — fifteen years of gradient steps, each phase feeding the next.
Valsoft Corporation · Montréal
Edelweiss Software Group (Valsoft) · Montréal
CyberCap · Montréal
Self-employed
Self-employed
Playtika — World Series of Poker · Montréal
Ludia · Montréal
Ubisoft · CAE Healthcare · Dassault Systèmes · Genetec
Concordia University
05 · impact
I preach AI ROI for a living — so here are my own evals.
Award-winning AI, programming & cybersecurity curriculum (Réseau Action TI).
Winning government grant proposals co-authored for AI & cybersecurity education.
Production agentic AI for ERP/WMS — live, multi-tenant, on Azure.
Conferences, webinars and corporate training across Québec — from first prompt to production.
side quests
Where new capabilities get stress-tested before they reach the enterprise.
Interactive 3D classroom avatar — Unity, Whisper, GPT-4 & DALL·E 3 — built for a biodiversity event around the film Butterfly Tale.
Watch on YouTube ↗A generative TV channel on Twitch: Stable Diffusion, CLIP, text-to-video, cloud TTS and ChatGPT orchestrated in Unity, steered live by chat.
Agentic vision, code-execution agents, context caching, FileSearch RAG stores — emerging model capabilities, shipped to production first.
roi --estimate
Drag the sliders — a deliberately conservative model of what AI-native ways of working reclaim, before we even talk about new revenue.
directional estimate · assumes 35% automation efficiency on the repetitive share — calibrated on deployed portfolio results
faq --grounding
The questions decision-makers ask before an engagement.
A five-step arc — diagnose, prove, platform, enable, scale. You get a prioritized opportunity map in days, a production-grade pilot in weeks, then governed rails and training that make the gains stick.
Pilots ship in weeks with evals and a benchmark from day one, so ROI is measured — not estimated. On my flagship platform, an honest benchmark harness took task pass rate from 53% to 98% while the test suite grew past 5,500 green tests.
No — the goal is augmentation. Agents absorb repetitive work under human approval gates, and every individual gets trained on the most advanced AI tools on the market. People included, not replaced.
Claude, GPT and Gemini behind one governed gateway, on Azure and AWS — deployed inside vertical software: ERP, WMS, finance and operations. Based in Montréal, working with teams globally in French and English.
Send a message through the contact form with your context and goals. You’ll get a reply within 48 business hours — usually with a first read on where AI moves your P&L.
06 · contact
AI transformation, a speaking engagement, corporate training or a role to discuss — tell me about it.