LLMs, Agents & AI Infrastructure
RAG systems, vector databases, LangChain/LangGraph workflows, LLM orchestration, model evaluation, deployment pipelines and production AI architectures.
Nathaniel Handan is an AI Engineer, Roboticist and Systems Architect specializing in Large Language Models, Agentic AI Systems, Computer Vision, Autonomous Robotics and AI Infrastructure across fintech, healthcare, education and industrial innovation.
Born in Kaduna and based in Abuja, Nigeria, Nathaniel holds a B.Eng. in Mechatronics and Systems Engineering from Abubakar Tafawa Balewa University. He builds scalable AI architectures, autonomous systems and practical AI products for real users.
RAG systems, vector databases, LangChain/LangGraph workflows, LLM orchestration, model evaluation, deployment pipelines and production AI architectures.
ROS2, Raspberry Pi robotics, PX4/Gazebo simulation, Holybro X500 V2 drone integration, object tracking, obstacle avoidance and vision autonomy.
Co-Founder & CTO at KudiTraka Technologies, founder of AI Bauchi, 4x AWS Community Builder, instructor and mentor for AI training programs.
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Selected highlights from Nathaniel’s professional profile.
1st Place with Team Simulations at Innov8 Hub for a next-generation immersive simulation TVET system.
ATBU Tech Titans Innovator of the Year 2024, ATBU NUESA Innovator of the Year 2024, and Tech Enthusiast Award.
Outstanding Community Project recognition for advancing indigenous language AI and training 500+ participants.
Formal background, certifications and community impact.
Abubakar Tafawa Balewa University, Bauchi. Focus: control systems, robotics, automation, embedded systems, machine learning applications, sensors and actuators. Final-year project: AI-Powered Virtual Classroom for Personalised STEM Education.
Machine Learning & Deep Learning in Python/R, AWS AI Practitioner, Linux Bash Scripting, GitHub Foundations and Explore Lab C4.
NITDA AI Developer Training instructor, AI Bauchi mentor, Google DevFest Bauchi speaker and STEM/AI outreach advocate with TechWomen Alumni Association Nigeria.
A practical snapshot of Nathaniel’s engineering stack.
Python, C++, Java, Bash, SQL/NoSQL, Jupyter, Pandas and data analysis workflows.
PyTorch, TensorFlow, Scikit-learn, Keras, OpenCV, Hugging Face, machine learning, deep learning, NLP, computer vision and feature engineering.
ROS2, Raspberry Pi, Arduino, IoT, sensors, actuators, drones, simulation and autonomous systems.
Git/GitHub, TensorBoard, SolidWorks, MATLAB, Docker, Kubernetes, AWS, FastAPI, MLflow and Airflow.
LangChain, LangGraph, vector databases, RAG systems, CI/CD, LLM orchestration, model evaluation and deployment strategy.
Innovation, technical writing, collaboration, mentorship, curriculum design, community building and cross-functional delivery.
Current and previous roles from Nathaniel’s professional profile.
Designing production-ready AI applications across education, events, business automation, analytics, recommendations, health guidance and SME intelligence while continuing robotics and multilingual AI work.
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Open to AI systems, robotics, agentic AI, healthtech, fintech, education, cloud infrastructure and research collaborations.
Abuja, Nigeria
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