Montreal, Canada

Engineering Leadership · Lead Technology Consultant · MBA Candidate

Strategic software engineer (P.Eng.) and MBA candidate with 4+ years bridging deep technical execution and business growth — currently leading capacity, performance, and automation strategy for enterprise-scale infrastructure at Bell.

0+

Years in engineering

Across simulation, finance, and telecom infrastructure

0%

Fewer interruptions

AI-driven capacity planning on enterprise infrastructure

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Reporting automated

Manual performance reporting replaced with automation

0.0%

Service availability

Maintained across critical national services

Career

Experience

Bell

2023 – Present · Montreal, Canada

Lead Technology Consultant — Capacity, Performance & Automation

Primary technology consultant for Tier-1 enterprise clients, translating business expansion goals into scalable infrastructure roadmaps.

30% fewer interruptions
90% reporting automated
99.9% availability
  • Architected and led a full-stack automated network ecosystem across Meraki, Arista, and Fortinet platforms
  • Led an AI-driven capacity planning initiative for predictive system reliability
  • Optimize infrastructure OpEx against a capacity-to-revenue model for critical national services
PythonVueFastAPIAWSNetwork Automation

Desjardins

2022 – 2023 · Montreal, Canada

Functional Analyst — Digital Strategy

Bridged business and engineering on financial digital products through a major system migration.

20% smaller backlog
  • Orchestrated technical requirements across departments to unblock delivery
  • Kept delivery aligned with financial compliance and data governance standards
RequirementsData GovernanceRisk Management

Archer

2022 · Quebec, Canada

Development Team Lead — Salesforce & Automation

Led a development squad delivering mission-critical Salesforce workflows, owning sprint velocity and code quality.

25% ahead of schedule
40% less manual entry
  • Delivered mission-critical Salesforce workflows ahead of schedule
  • Built internal automation that streamlined executive reporting
ApexSalesforceAutomation

CAE

2021 · Montreal, Canada

Full-Stack Performance Engineer — Simulation

Optimized rendering performance for the Prodigy simulation engine, with direct impact on high-value training contracts.

30% fidelity gain
  • Profiled and optimized C++ rendering hot paths in a real-time simulation engine
C++Real-time RenderingPerformance Profiling

Code

Side Projects

Hands-on technical work outside the day job — each one fully working, tested end-to-end in a real browser, and running in CI.

Capability

Core Competencies

The engineering-plus-business combination that the P.Eng and MBA together are meant to cover.

Leadership

  • Team Mentorship
  • Change Management
  • Agile / Scrum Leadership
  • Organizational Behavior

Strategic

  • IT Roadmapping
  • ROI Analysis
  • Stakeholder Negotiation
  • Strategic Resource Allocation

Technical

  • Cloud Architecture (AWS)
  • Full-Stack Automation
  • AI/ML Capacity Modeling

Operations

  • Financial Modeling (CapEx/OpEx)
  • Business Analytics
  • Risk Mitigation
  • Technical Governance

Technical Toolkit

Languages

PythonTypeScriptJavaScriptJavaC++SQLApex

Cloud & DevOps

AWSCI/CD PipelinesLinuxInfrastructure as CodeNetwork Automation

Frontend

ReactNext.jsVueViteTailwind CSSRecharts

Backend

Node.jsExpressFastAPISpring BootREST APIsSocket.io / WebSockets

Data

PrismaSQLAlchemySQLite

Testing & Tools

VitestpytestPlaywrightSupertestGit

Background

Education & Certifications

Education

  • MBA, Business Analytics

    Université Laval · Expected 2025

    AACSB + EQUIS accredited — Strategic Management, Financial Intelligence, Data-Driven Leadership

  • B.Eng., Software Engineering

    Polytechnique Montréal

  • P.Eng. — Professional Engineer

    Ordre des ingénieurs du Québec (OIQ)

Certifications

  • AWS Certified Cloud Practitioner

    Amazon Web Services · 2024 – 2027

  • Supervised Machine Learning: Regression and Classification

    Stanford (via Coursera) · 2025

  • AI For Everyone

    DeepLearning.AI · 2024

Get in touch

Open to conversations on technology strategy, engineering leadership, or anything in the projects above.