Edmonton, Alberta — RCAF Veteran

Ian
Stout.

Autonomous systems engineer and technology director. I build perception stacks, Edge AI systems, and autonomous control platforms that operate in the harshest real-world environments — mining, heavy construction, and tactical operations.

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01

About

My career started in the oilfield — troubleshooting mechanical failures and electronic control systems on power generators, power swivels, and fluid pumping equipment in active field environments. That built a ground-level understanding of how industrial equipment actually fails.

From there, progressive leadership in quality, compliance, and operations across heavy industry taught me the rigor that separates deployable technology from technology that only works in a lab.

Today I own the full autonomous systems lifecycle at Correct-AI: electrical design, hardware selection, equipment integration, field deployment, and the product support teams that keep systems running where technology gets pushed hard every single day.

RCAF veteran. Electronic Engineering Technology diploma. Six Sigma Green Belt. Bachelor of Management in progress at Athabasca University.

350%+
AI inference speedup — 50ms → 14ms on edge hardware
L9
Patent-pending autonomous braking system at active customer sites
$1M
Annual profit increase from novel equipment repurposing solution
14%
Reduction in unwanted events — first incident-free quarter in company history

// Autonomy Stack

ROS 2 Autoware Drive-by-Wire Sensor Fusion GNSS / Dead Reckoning CAN / UAVCAN / J1939

// Edge AI & Perception

YOLO / OpenCV NVIDIA Jetson TensorRT Edge Deployment Real-time Inference Behavior Detection

// Systems & Leadership

C++ / Python Electrical Design Harness Design Field Commissioning IP / Patent Strategy ISO 9001 / COR
02

Projects

// Active — Correct-AI | Patent Pending

Autonomous Braking System — Level 9

Led every stage of development for a patent-pending autonomous braking system deployed across multiple active mining and construction sites. Full ownership from electrical design and component selection through physical installation, software integration, and customer deployment. Integrated YOLO/OpenCV-based real-time perception with deterministic control logic — producing measurable reduction in near-miss incidents in active field environments.

↓ Near-miss incidents across active customer sites
Field Demo — Site Deployment
System in Operation
YOLO / OpenCV Edge AI Jetson CAN Bus C++ Python Electrical Design
GitHub
// Correct-AI

AI Inference Optimization — 350%+ Speedup

Drove software and pipeline-level optimization of the company's flagship AI model, cutting inference latency from 50ms to 14ms. Unlocked real-time perception on embedded edge hardware in rugged operating environments where cloud connectivity isn't an option.

50ms → 14ms inference latency
TensorRT Jetson Pipeline Optimization Edge Inference
GitHub
// Correct-AI

Autonomous Valet Platform — Drive-by-Wire

Systems lead for an Autoware-based autonomous valet parking initiative. Selected embedded compute, AI accelerator, steering motor, and braking actuators. Designed deterministic C++/Python interface layers from motion planning output to physical actuation through to field deployment.

Autoware ROS 2 Drive-by-Wire C++ / Python Systems Integration
GitHub
// Correct-AI

Monocular Distance Measurement System

Engineered a camera-based distance measurement system using pre-calibrated parameters and deterministic mathematical functions. Achieved higher accuracy and reliability than stereo vision at significantly lower hardware cost.

Computer Vision OpenCV Camera Calibration Python
GitHub
// Pegasus Imagery

Autonomous UAV Platform — BVLOS

Led full development lifecycle of autonomous UAV systems for wildfire management and national security missions. Embedded edge radar/optical sensor processing, UAVCAN fault-tolerant architecture, and airworthiness validation through to BVLOS operational deployment.

UAVCAN Embedded Systems BVLOS Radar / Optical Detect & Avoid
// Edgeward — Source on Request

Edgeward Object Tracker

Real-time object detection and tracking on NVIDIA Jetson hardware. Optimized inference pipeline for person and vehicle classification with behavior analysis — designed for low-latency, off-grid deployment with zero cloud dependency.

Edgeward
Jetson YOLO TensorRT Python OpenCV
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03

Experience

Correct-AI Mar 2024 – Present
Director of Technology
  • Owns the full technology stack for AI-driven safety and autonomous control systems deployed on heavy equipment in mining and civil construction.
  • Patent-pending autonomous braking system (L9) — led electrical design, component selection, installation, software integration, and multi-site deployment.
  • 350%+ AI inference speedup — reduced latency from 50ms to 14ms, enabling real-time edge perception on embedded hardware.
  • Systems lead for Autoware-based autonomous valet platform — designed drive-by-wire actuation interface from motion planning to physical hardware.
  • Engineered monocular distance measurement system outperforming stereo vision at lower hardware cost.
  • Built and leads the product support organization responsible for field reliability post-deployment.
Pegasus Imagery Aug 2023 – Feb 2024
Vice President of Operations
  • Led engineering, flight operations, IT, and product teams delivering autonomous UAV platforms for wildfire management and national security.
  • Oversaw full aircraft development lifecycle through BVLOS operational deployment.
  • Directed embedded software development for real-time radar and optical sensor processing on flight-critical hardware.
  • Implemented UAVCAN-based architecture for deterministic, fault-tolerant data transfer between flight-critical components.
Precision Drilling Aug 2022 – Aug 2023
Process Improvement & Support Services Manager
  • Saved 4,000+ man-hours annually through LMS deployment across Canada.
  • Delivered structured leadership development to 250+ employees.
High Arctic Energy Services Aug 2021 – Aug 2022
Global Operational Efficiency & Compliance Manager
  • Led a 14-person international team across North America and Papua New Guinea.
  • Reduced unwanted events by 14%; achieved the company's first incident-free quarter.
  • Managed COR audit program — reduced transport violations below 10%, best result since 2018.
  • Delivered 40% reduction in reactive corrective actions; results presented to the Board of Directors.
High Arctic Energy Services Apr 2019 – Aug 2021
Branch Manager, Rentals Division
  • $1M annual profit increase from novel equipment repurposing solution — still in active use today.
  • Designed and prototyped a wireless remote sensor network (Python/C++) for real-time field data acquisition.
  • Spearheaded a net-zero emission fluid pumping system capable of unmanned remote operation.
04

Contact

Let's build
something real.

Open to interesting problems in autonomous systems, Edge AI, and industrial technology. Always happy to talk shop about GNSS, drone systems, perception stacks, or anything that has to work in an actual field environment.

Based in Edmonton. Available for contract work and full-time roles in embedded systems, autonomy, and technology leadership.

✉ buildsignal916@gmail.com ⌥ github.com/Periphetez ◈ linkedin.com/in/ian-stout-1798b3169 ◎ 780.826.9684