Turning data into decisions — from dashboards to AI agents.
Lead Solution Engineer at Tableau (Salesforce), based in Montréal. I design demos, POCs and architectures that help data teams make better decisions — with or without AI.
- Experience
- 13 yrs
- Clients
- 50+ FR / 300+ CAN
- Pipeline
- $5M+
- Role
- Lead Solution Engineer
- Stack
- Agentforce · Data Cloud · AI
- Based in
- Montréal
data · BI → AI
clients served
influenced
Tableau / Salesforce
Tableau · Tableau Next
ex-Paris · FR · EN
Recent work
Question
“My top 3 at-risk stores this quarter, and the revenue at stake?”
Answer
revenue at stake · k$
↳ source: stores_health model · daily refresh
From institutional reporting to agentic AI.
13 years in data, 9 of them in pre-sales / solution engineering. SAS first (2013-2018), then BI/dataviz manager at AVISIA (2018-2021), then Tableau (2021-now), Salesforce since late 2023. My job: turn a business need into a demo, a POC, or an architecture that actually works — and walk alongside teams who genuinely want to use their data.
01 — Platform
Tableau end to end
Tableau Cloud, Server, Desktop, Embedded, Tableau Next, Data Management, Advanced Management. POCs, Tableau Doctor, architecture.
02 — Salesforce + AI
Data Cloud, Agentforce
Data Cloud, Data360, Agentforce, Sales / Service / Marketing Cloud integrations. AI ethics and responsible use.
03 — Advisory & demos
Pre-sales, RFI/RFP, speaker
Needs qualification, live tailored demos, RFI/RFP, Tableau Doctor sessions, speaking at industry and marketing events.
Recent notes
DemoInk v1.0.0 is live
No longer a secret: the first public release of my tool for drawing live on screen mid-demo is out for Windows.
- DemoInk
- tooling
- presentations

33 years on Windows, then the Mac
The honest story behind a machine switch that has nothing to do with a religious war: it was my parallel Claude Code sessions that ended up forcing the call.
- Mac
- setup
- AI
100% AI — 10 days in
Ten days of running everything through AI. An honest first check-in: the rollercoaster of the upfront tax, planning more to produce better, the parallel-session puzzle, and what the tools I tested are really worth.
- AI
- experiment
- tooling
