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Mario Montcho

Mario Montcho

Applied AI Engineer · Project Lead · Montréal, Canada

Applied AI engineer trained across Groupe INSA Rouen (physics engineering) and ÉTS Montréal (software engineering). I design and ship concrete solutions around LLMs, RAG and autonomous agents: end-to-end ML pipelines, production APIs, self-hosted infrastructure. And I steer: scoping, architecture calls, expert coordination, all the way to launch. Author of a technical ebook on AI-assisted development and host of a French-speaking community of founders.

Valid post-graduation work permit

Projects
Axion Studio — WebGPU Agency Landing

Axion Studio — WebGPU Agency Landing

A design-agency landing page with a real-time WebGPU hero — cursor-driven light flowing through fluted glass — choreographed motion, and a full CSS fallback so no visitor ever sees a dead page.

designWebGPU · React · Shaders
Cadence — Open-Source Follow-Up CRM in a Single HTML File

Cadence — Open-Source Follow-Up CRM in a Single HTML File

A complete CRM for freelancers and small businesses in one HTML file: weighted pipeline, follow-up engine, Excel import, statistics. Zero server, zero dependency, data never leaves the browser.

liveOpen source · 1 file
The Prompt Academy — Applied-AI Learning SaaS

The Prompt Academy — Applied-AI Learning SaaS

A SaaS platform that teaches developers and entrepreneurs to build real AI projects with Claude Code — interactive ebooks, ready-to-use skills, step-by-step guides and a private community.

liveLive SaaS · 118 users
Menu Optimizer — Cost & Margin Management SaaS for Food Professionals

Menu Optimizer — Cost & Margin Management SaaS for Food Professionals

Built a SaaS platform helping food service professionals track ingredient costs, calculate product margins, and optimize their menu pricing in real time.

liveLive SaaS
AI-Powered Rental Pricing for a Housing SaaS

AI-Powered Rental Pricing for a Housing SaaS

Built a machine learning pricing engine to estimate optimal rental prices using location signals, neighborhood trends, and historical similarities.

deployedIn production · CRM
Automated Morphological Analysis from Medical Images

Automated Morphological Analysis from Medical Images

Developed Python tooling to automate morphological measurements from 3D medical images and segmentations, improving repeatability and analysis efficiency.

researchReproducible 3D
Experience
09/2024 - Present

Applied AI Engineer, Freelance

Freelance · France
  • Rental-pricing SaaS: designed and deployed an ML price-recommendation engine. End-to-end pipeline (data prep, feature engineering, GridSearchCV, Random Forest / XGBoost) served via FastAPI with monitoring.
  • menu-optimizer.com: pricing SaaS for restaurants. Next.js / Supabase / Vercel with authentication, payments, an analytics dashboard and production deployment.
  • CRIBBZ: housing platform for newcomers to Canada. Product architecture, landing page and B2B positioning around certified trust.
  • Active exploration of the modern agentic ecosystem: MCPs, SKILL.md skills, OAuth flows and multi-channel integrations.
09/2024 - 04/2025

R&D Project Lead, 3D Morphological Analysis

LIO · Montréal, QC, Canada
  • Led a Python R&D project with researchers and clinicians: correlation between brain morphology and skull dimensions.
  • Semi-automated 3D measurement pipeline from MRI (bounding boxes, RAS landmarks, 3D Slicer integration).
  • Stakeholder coordination, sprints, technical documentation and scientific reporting, with Agile project-management practices.
Education
09/2021 - 10/2025

Engineering Degree, Physics Engineering & Innovative Technologies

Groupe INSA Rouen / ESITECH · Saint-Étienne-du-Rouvray, France
09/2023 - 04/2025

Master's, Software Engineering

École de Technologie Supérieure (ÉTS) · Montréal, QC, Canada
Capabilities

AI & LLMs

LLM applications with the Anthropic SDK and Claude API: MCP, RAG, prompt engineering and autonomous agents.

Anthropic SDKClaude APIAutonomous agentsMCPRAGPrompt engineeringLangChain

Machine Learning & Deep Learning

End-to-end ML: feature engineering, model training and tuning, computer vision and deep learning.

scikit-learnXGBoostRandomForestpandasNumPyTensorFlowPyTorchComputer VisionGridSearchCVFeature engineering

Backend & Data

Production services and data layers exposing ML models and business logic through clean APIs.

PythonFastAPINode.jsREST APIsSupabasePostgreSQLSQL

Frontend & DevOps

Modern web UIs and self-hosted infrastructure: from React/Next.js to Docker, VPS and CI/CD.

Next.jsReactTypeScriptTailwindDockerLinux/VPSCaddyVercelGit/GitHubCI/CD
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