AI strategy and readiness
Know where AI pays off for you, and what it takes to get there safely.
- Opportunity and ROI assessment
- Data and security readiness
- Roadmap and build-vs-buy
- Governance and responsible-AI policy
AI · IT · Cloud · Data
Practical AI & ITfor businessesand people.
I help businesses and individuals use AI and technology well: from strategy and secure cloud infrastructure to assistants that answer from your own documents.
AI Engineering Advisor at Desjardins · PhD, Concordia · 10+ years in tech
Services
What I can do for you.
AI assistants and automation
Chatbots and agents that answer from your own documents and take work off your team.
- Agentic RAG over your documents
- Customer-support and internal assistants
- Workflow automation with LLMs
- Evaluation, guardrails and monitoring
Data, analytics and dashboards
Reliable pipelines and dashboards so decisions rest on numbers, not guesses.
- Automated data pipelines (BigQuery, PostgreSQL)
- KPI dashboards
- Forecasting and anomaly detection
- Natural-language analytics
Cloud, DevOps and IT infrastructure
Secure, affordable infrastructure that deploys itself and stays up.
- Azure, AWS and GCP architecture
- Docker, Kubernetes and CI/CD
- Security hardening and access control
- Cost review and migration
Web apps and internal tools
Custom software built properly: tested, documented and deployed.
- Websites and web applications
- APIs and integrations
- Internal tools and portals
- Modernizing legacy tools (VBA, spreadsheets)
Team training and workshops
Your team uses AI confidently and correctly, in their real work.
- Generative AI for non-technical teams
- Prompt engineering and safe use
- MLOps and DevOps for engineers
- Custom workshops, EN or FR
Approach
How we work together.
- 01
Discovery call
A short call to understand your goals, constraints and what success looks like. No obligation.
- 02
Proposal
A clear scope, timeline and price, in writing, before any work starts.
- 03
Build and iterate
Regular check-ins and demos, so you see progress and can steer.
- 04
Handover and support
Documentation, training for your team and support when you need it.
Experience
Built in industry, grounded in research.
- 10+
- years in tech
- PhD
- Concordia University
- 3
- clouds: Azure, AWS, GCP
- 10
- peer-reviewed papers
- Desjardins
- Valnet
- Localyser
- Nectari
- Urbanoid
- CITA
Data pipelines
Retrieval benchmarking
Multi-agent assistants
Secure AI environments
Engagements
Ways to work together.
Every engagement starts with a discovery call. You get a written price before any work begins.
Advisory session
One focused session on a specific question: an architecture review, a tool choice, a career decision.
Book a discovery callProject
A defined deliverable with a fixed scope: an assistant, a dashboard, a website, a migration.
Book a discovery callOngoing support
A few hours each month as your fractional AI and IT lead, for steady progress.
Book a discovery callTraining
A workshop or course for your team, tailored to your tools and level.
Book a discovery callFAQ
Common questions.
Do you work with individuals or only companies?
Both. Individuals come for mentoring, IT help or a website; companies for AI, data, cloud and training.
Where are you based?
Montreal. I work remotely with anyone, and in person in the Montreal area.
How much does it cost?
It depends on scope. After the discovery call you receive a written, fixed or estimated price; nothing is billed before you agree.
Is my data safe?
Yes. I work inside your accounts where possible, sign an NDA on request, and follow least-privilege access. Data stays where you decide.
Which language?
English or French.
How fast can we start?
Usually within one to two weeks after the discovery call, depending on scope.
Contact
Tell me what you need.
A few details help me prepare. I reply within two business days.