Vaughn DiMarco

+1-514-238-1130v@ug.hn/vaughndimarcoMontréal, QC

AI PRODUCT LEADER WITH PROVEN TRACK RECORD IN PRODUCT MANAGEMENT AND AI INNOVATION

40K-user platform shipped in 6 weeks · $1.25M raised · 550% enterprise AI adoption growth

Relevant Experience

Fractional AI Consultant

Agentic AIWorkflow AutomationExecutive SystemsLLM Infrastructure
  • Shipped a multi-tier Agentic COO / Chief of Staff product from concept to live client deployments, delivering +9 hours of weekly time savings per user, by architecting a three-pillar model to unify knowledge base, CRM, and inbox into a single agentic OS.
  • Built 100+ app integration layer enabling autonomous 24/7 back office admin workflows, reducing average client deployment time to under 2 weeks, by designing modular LLM-based pipelines connecting email, calendar, and CRM.

Lead AI Advisor

AI Program ManagementGoogle Cloud Vertex AICross-Functional Leadership
  • Drove 550% YoY adoption of GenAI tools enterprise-wide by leading end-to-end evaluation and selection of AI platforms, aligning technical capabilities directly to business impact metrics.
  • Launched Center of Excellence & Community of Practice, scaling AI literacy across 5,000+ employees and establishing governance frameworks adopted company-wide.
  • Built and led a 6 FTE core team plus cross-functional contributors across engineering, PMO, sales, marketing, finance, and HR to maintain a live backlog of 40+ AI use cases and launch POCs.

CTO & Co-founder

LLM InferenceCode GenerationAgentic EngineeringData PipelinesGoogle Cloud
  • Achieved 40,000 signups in 2 months by developing and deploying end-to-end code generation pipelines with Claude Code & open-source models, shipped from zero to production in under 6 weeks.
  • Built inference API for intelligent model switching across AI workflows, reducing average inference cost by 40% through dynamic routing to the best-fit model per task.
  • Raised $1.25M USD to pioneer decentralized AI markets by delivering a working product with measurable traction to a seed-stage thesis investors.

Director, Value Creation & AI Consultant

M&AProgram ManagementDeal FlowIntegration
  • Led post-merger integration on 2 acquisitions and cross-functional due diligence across 100+ AI companies, translating complex technical findings into board-level investment decisions.
  • Built and scaled acquisition pipeline evaluating 1,200+ companies through a data-driven scoring model, compressing average deal screening time by 60%.
  • Generated $150K+ in revenue, secured $350K in cloud partnership funding, and supported $2.5M pre-seed fundraise by packaging proprietary deal-flow data into investor-ready narratives.

Owner & Data Scientist

Vonalytics (Acquired)
AI StrategyMachine LearningNLPProgram ManagementProduct Integration
  • Acquired, grew, and exited a SaaS analytics product — achieving positive ROI in under 12 months and a successful acquisition exit within 2 years.
  • Led enterprise AI strategy across 20+ cross-functional teams spanning ML, NLP, data science, and data engineering at clients in automotive, aerospace, hospitality, travel, retail, and gaming.
  • Delivered NLP-powered customer intelligence models reducing churn prediction error by 35% for a Fortune 500 hospitality client.

Education

Queen's University

Kingston, Ontario

BASc, Applied Science with Internship — Mechanical Engineering

Technical Skills

Agentic Engineering & AI / ML

Coding Agent DevOps Workflows · Multi-Agent Systems (LangGraph / ADK / Crew) · ReAct & Self-Reflection · Hierarchical Delegation · MCP Protocol & Tool-Calling · LLM Inference Optimization · RAG Pipelines

Product & Strategy

0→1 Product Development (PR/FAQ) · OKR / KPI Goal Stacking · Go-to-Market Technical Discovery

Key Projects

Next AI – Montréal (1st Cohort)

$25K grant to validate an AI startup; mentored by top faculty at MILA, Canada's leading AI research lab.

Data Science Mentor – Springboard

Top-rated mentor across 10,000+ graduates at the leading data science bootcamp.

Founder, MTLDATA & Montréal R User Group

Bootstrapped a community of 10,000 data practitioners through recurring meetups, workshops, and speaker series.