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Systems Engineer & Agentic AI Architect

Orchestrating intelligent systems and agentic workflows.

About Me

Motivation

I am driven by the potential of Africa's R&D ecosystem. By merging rigorous scientific experimentation with agentic AI orchestration, I aim to build systems that aren't just automated, but truly intelligent and adaptive.

Backstory

From leading Kenya's first liquid rocket engine research to becoming a CKAD-certified specialist, my path has been defined by a deep focus on complex systems engineering and distributed machine learning infrastructure.

Why I'm Perfect For The Job

I bring a multi-disciplinary engineer's discipline to any system's design and integration. I specialize in the 'deceptively simple' intersection of physical hardware, distributed services, and agentic workflows, ensuring robust and reproducible results.

Projects

Agentic AI & ML Orchestration

Agentic AI & ML Orchestration

Developed reproducible ML/RL pipelines as a Freelance agent. Focused on cloud deployment, model quantization, and agentic robustness using Docker and Kubernetes.

CKADKubernetesDockerMLOps
PCB Generation AI Agent

PCB Generation AI Agent

Architected an AI-driven design agent that translates natural language circuit descriptions into validated KiCad schematics. Orchestrated via a serverless multi-agent pipeline, bridging the gap between hardware architecture and generative AI.

KubernetesDockerPodmanKiCadPCB DesignMLOpsAutomationCloud ComputingSystems Engineering
Liquid Rocket Propulsion Systems

Liquid Rocket Propulsion Systems

Spearheaded research and testing for Kenya's first liquid rocket engine at Nakujaproject. Engineered a high-pressure liquid rocket engine test stand using a modified beer keg accumulator, custom mechatronic control software, and bespoke PCB architecture. Mentored and onboarded incoming propulsion teams on rigorous safety and operation protocols.

Systems EngineeringCFDFEAPropulsionPCB DesignControl SystemsMechanical FabricationAutomation
Apogee Detection Research

Apogee Detection Research

Published analysis on 'Utilizing Moving Average for Apogee Detection' in JKUAT SRI Conference 2023. Validated sensor fusion algorithms for telemetry data. The result was a functional ignition system with full control of the ignition sequence

Algorithm DesignResearchSensorsData Analysis
Design and Fabrication of a Liquid Rocket Ignition System

Design and Fabrication of a Liquid Rocket Ignition System

For my University capstone project, I designed and fabricated an Augmented Spark Ignition (ASI) system. This involved engineering a miniature rocket engine producing 10N of thrust to ignite the main engine using a propane/oxygen mixture. The system achieved full scale-parity with the primary propulsion unit.

Systems EngineeringCFDFEAPropulsionPCB DesignCAD/CAMCNC MillingControl SystemsMechanical FabricationAutomation
3D print Automatic Quotation Software

3D print Automatic Quotation Software

During my time at iForge innovators, I developed a cloud based serveless application that takes in amn STL file as input, processes it in a virtual docker environment, slices it for any printer configuration and automatically calculates the price incurred in producing the 3D part and displays the finished output to the user inclusive of all print parameters.

Algorithm DesignResearch3D printingDevOPsDockerPodmanKubernetesFullStack DevelopmentAutomationBambu studioSlicingCloud ComputingBambulabs Printers
Autonomous 6DOF Robotic Platform

Autonomous 6DOF Robotic Platform

Designed a high-precision 6DOF robotic arm for motion control research. Integrated real-time data acquisition and kinematics modeling with ROS 2 and Gazebo simulations. Implemented reinforcement learning pipelines to adapt the platform for complex tasks such as object manipulation and autonomous navigation.

RoboticsKinematicsC++Control SystemsROS 2GazeboReinforcement LearningSimulation
Design of a 3D printed gambrel for backcountry applications

Design of a 3D printed gambrel for backcountry applications

Engineered a lightweight gambrel device for backcountry application to be used in the hoisting of game animals. The device was designed to be collapsible and portable, weighing less than 1kg and capable of holding up to 250kg load. to be fabricated purely using 3D rpinted without any metal components except for titanium pins at the joints.

Product DesignMechanical DesignFEA3D PrintingPrototyping
RC car design and simulation

RC car design and simulation

Designed and simulated a high performance RC car for off-road applications. The car was designed to be lightweight and durable, capable of withstanding high impacts and rough terrain. The simulation was done using ROS 2 and Gazebo simlation environment, allowing control and reinforcement learning to adapt it to different tasks such as object identification, obstacle avoidance, cruise control and autonomous navigation.

Systems EngCFDFEARemote ControlKinematicsDynamicsCAD/CAMControl SystemsMechanical DesignAutomationReinforcement LearningSimulationObject IdentificationObstacle AvoidanceCruise ControlAutonomous Navigation
STEM & Robotics Instructor

STEM & Robotics Instructor

Empowering youth through STEM: Mentoring children and teenagers in robotics, mechatronics, and algorithm design. Orchestrating hands-on workshops using custom-built educational hardware and interactive learning modules to inspire the next generation of engineers.

STEMRoboticsEducationMechatronicsMentorship
Humanoid Robotics RL Environment

Humanoid Robotics RL Environment

Architected a virtual containerized environment for training humanoid robots using the Unitree SDK and MuJoCo. Integrated PyTorch for reinforcement learning, enabling complex gait and task mastery.

HumanoidUnitree SDKMuJoCoPyTorchReinforcement LearningDocker
Autonomous UAV/UUV Swarm Simulation

Autonomous UAV/UUV Swarm Simulation

Developed a robust training ecosystem for drones and underwater vehicles using PX4, Gazebo, and ROS 2. Features custom airframe integration, LIDAR control, and procedural task automation via reinforcement learning.

PX4GazeboROS 2UAVUUVReinforcement LearningLIDAR