Applied AI product engineer · Montréal

Software that earns trust.

I build local-first products, governed agent systems, and practical automation—then test the claims they make.

Position / 01

Business context in. Reliable systems out.

I came to software through operations, marketing, and direct client problems. That route taught me to translate ambiguous human needs into bounded workflows, useful interfaces, and evidence that a system actually works.

Private pre-release product

Echo

A clean, local-first macOS voice workspace for dictation, meetings, evidence-grounded notes, and structured memory.

Deterministic vocabulary correction reduced delivered-text WER from 4.74% to 4.09% on Echo’s retained 13-fixture generated regression suite.

  • Swift
  • SwiftUI
  • Core ML
  • FluidAudio
  • MLX Swift

Private business project

Agent Launch Lab

A model- and runtime-independent reference for permissions, mission contracts, artifact validation, and evidence-backed AI workflows.

The reference workflow blocks undeclared permissions and cannot pass until its required evidence and report artifacts satisfy explicit validators.

  • Python
  • Typed contracts
  • Workflow gates
  • Audit evidence

Open source

Ad Video Engine

A brief-driven Python engine that plans, selects, and packages short-form ad campaigns into reviewable production artifacts.

One validated brief produces six concepts and three stable ad specifications plus posting copy, QA, and a manifest; production ranking remains private.

  • Python
  • YAML
  • Ollama
  • Provider adapters
  • Pytest

Practice / 02

What I build

  1. 01Local AI productsSpeech, intelligence, privacy, native delivery
  2. 02Agent systemsContracts, permissions, artifacts, audit trails
  3. 03EvaluationFixtures, benchmarks, promotion gates, limitations
  4. 04AutomationMarketing and operations turned into software

Communication / 03

English. Français. Español.

Technical work is clearer when the people around it feel understood.