About Kevin Power

CEO & Founder of Power AI Labs • MIT Graduate • Supply Chain Innovation Leader

Background

I'm the CEO and founder of Power AI Labs, where we're building the future of supply chain optimization through human-in-the-loop AI systems. Our flagship product, the SCND Agent, represents a breakthrough in real-time supply chain intelligence and optimization.

My journey spans nearly a decade at the intersection of engineering, supply chain management, and AI. From working at Canada's largest refinery to conducting cutting-edge research at MIT, I've seen firsthand how fragile supply chains become during disruptions and how existing tools fall short.

At MIT, I realized this wasn't just one company's problem—it's an industry-wide challenge. That's when I decided to build the solution I wish I had: an AI system that understands unstructured risk, reasons through scenarios, and lets human analysts guide the model in real time.

Education

Massachusetts Institute of Technology

Master of Science, Technology and Policy (In Progress)

Master of Science, Electrical Engineering & Computer Science (In Progress)

Dual Degree Program • AI & Policy Focus

Massachusetts Institute of Technology

Master of Applied Science, Supply Chain Management (2025)

SCALE Scholar • Academic Achievement Award • Leadership Award

McMaster University

Bachelor of Technology, Manufacturing Engineering (2022)

Summa Cum Laude • William J. McCallion Scholarship

Mohawk College

Advanced Diploma, Chemical Engineering Technology (2017)

ArcelorMittal Dofasco Award

Awards & Recognition

MIT SCM Academic Achievement Award

Perfect 5.0 GPA, A+ Capstone Project

MIT SCALE Conference Best Project Award

Outstanding research presentation and poster

MIT SCM Best Capstone Runner-up

Supply chain optimization research project

MIT SCM Leadership Award

Tutoring & Mentorship

SCALE Scholars Fellowship

Global logistics research fellowship

Publications & Research

"From Dock to Destination: Toward an End-to-End Simulation Study"

Power, K. et al. (2025)

View Publication

Port Operations Simulation Research

Advanced simulation modeling of port operations and logistics optimization - research conducted at MIT focusing on end-to-end supply chain efficiency.

Professional Experience

Research Assistant

MIT - AI in Mobility, Transport, and Logistics Lab

2025 - Present

Developing the "Universal AI x Supply Chain Management" vertical module. Collaborating on company-sponsored research building AI agents for supply chain decision-making.

AI Training Data Specialist

Scale AI (Outlier AI)

2024 - Present

Annotating and curating datasets for mathematical reasoning training of LLMs, contributing to foundation model quality and reliability.

Engineer Officer

Canadian Armed Forces

2023 - 2024

2nd Lieutenant in the primary reserves with leadership experience in dynamic environments. Developed strategic thinking and operational planning capabilities.

Blend Technologist

HF Sinclair (formerly Petro-Canada)

2017 - 2023

Managed production pilot plant, quality assurance, and cross-functional logistics operations. Built automation tools and decision-tree engines for hazardous goods compliance and shipping documentation.

Let's Build the Future of Supply Chain

Interested in discussing supply chain optimization, AI innovation, or potential collaboration?