Hi, I'm Nathaniel Handan

Robotics & Control Engineer | AI Developer

Award-winning engineer (1st Place, 2025 IEEE Metaverse Grand Challenge) with a strong foundation in Mechatronics and Systems Engineering. Experienced in deploying ROS2-based autonomous systems and developing AI architectures for resource-constrained environments.

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Years Experience

10+

Projects Completed

Certifications

1st

IEEE Global Winner

About Me

Driven by Innovation & Problem Solving

With a deep expertise in , I am passionate about creating impactful technology solutions.

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Technical Skills

Programming

Python C++ Java Bash SQL/NoSQL ROS

AI/ML

PyTorch TensorFlow Scikit-learn Keras OpenCV HuggingFace

Robotics

Raspberry Pi Arduino ROS2 IoT Sensors Actuators

Tools

Git/GitHub Jupyter Docker SolidWorks MATLAB

Work Experience

Roboticists & AI Developer Innov8 Hub

Feb 2025 – Present

Member of the engineering team that won 1st Place in the IEEE Metaverse Grand Challenge 2025. Designed and tested robotics and AI-driven systems. Worked on assembly and integration of drone systems with PX4 and ROS2.

Co-Founder & CTO KudiTraka Technologies

Nov 2023 – Present

Spearheaded the development of MISA, an AI-powered financial assistant. Integrated advanced NLP and speech recognition models. Led cross-functional AI and backend teams.

AI Engineer Kwevox AI

Aug 2025 – Present

Developed a medical chatbot and Bayyana Analytics, an AI-driven business intelligence platform. Designed an AI-powered website builder for SMEs.

AI & Robotics(Intern) Nigerian Centre of Artificial Intelligence and Robotics

Feb 2023 – Nov 2023

Developed autonomous robotic systems using Raspberry Pi and ROS2. Contributed to the NCAIR Rasp-Bot UGV integrating computer vision for object tracking.

Featured Projects

AI XR Simulation

SkillForge VR

IEEE Metaverse Grand Challenge Winner 2025. Globally awarded project integrating AI with XR simulations for skill-based learning. Developed AI modules for adaptive interaction.

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Robotics ROS2 Computer Vision

NCAIR Rasp-Bot

Autonomous UGV with real-time obstacle detection and teleoperation. Implemented ROS2 Humble middleware and computer vision-based navigation.

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Drones PX4 Gazebo

PX4 Vision Autonomy

Vision-Based Autonomous Drone Stack. Integrated PX4 SITL and Gazebo simulation for drone perception. Implemented ArUco marker detection for precision landing.

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