Kieran M. Smith

Kieran M. Smith

Robotics Engineer | Defense Industry R&D | 1st Class MEng Graduate | Full Stack Developer

Defense Technology R&D

Implemented state-of-the-art Focal Stable DINO systems and developed embedded firmware for defense applications, creating comprehensive CNN analysis documentation.

Advanced Robotics

Pioneering autonomous systems including AI surveillance drones with 88% human detection accuracy and vision-enhanced rovers with CNN object recognition.

Full Stack Innovation

Transitioning from defense-grade embedded systems to comprehensive web development, mastering backend, frontend, and API architecture technologies.

Professional Journey

2024 - Present

Full Stack Developer

Independent Study & Development

Mastering comprehensive web development including backend systems, frontend frameworks, domain architecture, and API integration. Building end-to-end solutions with modern technologies.

2024

Graduate Software Engineer

Defense Industry R&D

Implemented state-of-the-art Focal Stable DINO computer vision systems. Developed embedded firmware devices using C++ and created comprehensive CNN documentation for cross-comparison analysis in defense applications.

2020 - 2024

Robotics & AI Specialist

University of Hull - Academic Excellence

Achieved 1st Class Honours in Integrated Masters. Developed autonomous AI surveillance drones, vision-enhanced rovers with CNN object recognition, and advanced microprocessor firmware solutions.

January 2023

Innovation Team Lead

Hult Prize Challenge - Boston, MA

Collaborated with MBA students developing sustainable fashion solutions. Led technical strategy for product innovation, demonstrating strategic thinking and collaborative excellence on international stage.

Key Projects

Autonomous Systems Portfolio

Advanced Robotics Development

AI surveillance drone with 88% human detection accuracy, gesture control, and live streaming. Vision-enhanced rover with omni-directional movement and CNN-powered object recognition.

Academic Excellence

MEng

Robotics and Mechatronics

University of Hull

1st Class Honours (4.0 GPA) - Integrated Masters program focusing on autonomous systems, AI, embedded firmware, and advanced robotics development.

2020 - 2024
HNC

General Engineering

East Riding College

Comprehensive foundation in engineering principles, providing the technical groundwork for advanced robotics and mechatronics specialization.

Completed 2020
Current

Full Stack Development

Independent Study

Advanced training in modern web technologies, backend systems, frontend frameworks, API development, and comprehensive domain architecture.

2024 - Present

Technical Expertise

Programming Languages: Python, C#, C++, MATLAB, C
Robotics & AI: TensorFlow, Keras, ROS, Computer Vision, CNN Development
Engineering: CAD (SolidWorks), 3D Printing, Circuit Design, Embedded Systems
Web Development: Full Stack Technologies, Backend/Frontend, APIs, Domain Management

Key Academic Projects

Masters Team Project: Vision-Enhanced Autonomous Rover with omni-wheels, Jetson TX2 AI integration, and CNN object recognition
Honours Project: Autonomous AI Surveillance Drone with 88% human detection accuracy and real-time obstacle avoidance
Crisis Management Course: Stanford University (2023) - Advanced strategic planning and business acumen development