Kenneth M.

Key Skills

Software

OpenCV AI Kit (OAK)

Don't disclose

Top Subject Matter

Autonomous robotics perception (YOLOv

and sensor fusion

Industrial automation reliability and safety-critical control systems

Top Data Types

Image

Top Task Types

No task types listed

Freelancer Overview

Engineering Intern - Autonomous field-deployed systems (YOLOv8 pipeline). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK), Don't disclose, and Internal. Education includes Bachelor of Engineering, Ontario Tech University (2026) and Technical Diploma, Beatriz Miranda de Cabal Dolega (2019). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming and Coding.

Labeling Experience

ROS2 Software Developer - Real-time robotic platform integration

Developed C++/Python modules to integrate proprietary hardware into real-time robotic platforms over CAN bus. Emphasized reliable commissioning and validation of embedded peripherals to support stable robotic operation. This work supports AI-enabled robotic platforms by ensuring that sensing and actuator interfaces function correctly in real-time settings. • Built language modules (C++/Python) for hardware integration. • Integrated over CAN bus with focus on reliable commissioning. • Validated embedded peripherals for real-time robotic performance. • Supported robustness of robotic platform operation under operational constraints.

2025 - 2026

Lab Technician - Multi-DOF robotic arm build and system validation

Designed and built a multi-DOF robotic arm and implemented CAN bus control systems with error recovery for high-torque motor performance. Performed end-to-end system validation and diagnosed complex hardware faults using lab measurement tools. Although the role includes embedded and robotic validation rather than explicit dataset annotation, the work involved developing perception/control infrastructure used in ML/vision-capable robotic systems. • Developed electrical panel wiring and integrated motor control with CAN bus. • Implemented error recovery mechanisms for robust operational performance. • Conducted hardware fault diagnosis using oscilloscopes and logic analyzers. • Validated the full robotic system end-to-end in operational conditions.

2024 - 2025

Engineering Intern - Autonomous field-deployed systems (YOLOv8 pipeline)

OpenCV AI Kit (OAK)

Engineered an end-to-end autonomous pipeline for field-deployed systems using YOLOv8 for computer vision and integrated sensor fusion and actuator control. Implemented data processing and model execution logic to support real-time perception and downstream control behaviors. Focused on bridging vision outputs to actionable commands for autonomous operation. • Built YOLOv8-based components for object detection workflows. • Integrated sensor fusion outputs with actuator integration for closed-loop autonomy. • Developed software/hardware integration to support autonomous field deployment. • Validated the pipeline for operational use in real-world conditions.

2024 - 2025

Electrical Technician Internship - Safety-critical industrial control maintenance

Don't disclose

Maintained and troubleshot safety-critical industrial control systems, including emergency infrastructure supporting maritime operations. Performed diagnostic and fault-resolution workflows on industrial automation equipment involving large-scale hydraulic and pneumatic actuation. While not explicitly labeling data, the role supported reliability and validation processes for control systems in operational environments. • Troubleshot cranes and industrial automation equipment in demanding conditions. • Supported safe operation of emergency infrastructure and control systems. • Performed system maintenance and reliability-focused diagnostics. • Applied hands-on troubleshooting to ensure operational readiness.

2019 - 2019

Education

Work History