4WD skid-steer AMR running ROS2 Humble with SLAM Toolbox, Nav2, and EKF sensor fusion. RPLIDAR + OAK-D Lite for perception, YOLOv8 on-device waste detection, 6-DOF arm via MoveIt2. Capstone project, compute split across Raspberry Pi and laptop over a UART-to-ESP32 control bridge.
Hi!
I'm Chidubem, a Mechatronics Engineer. I build robots and the Machine Learning Systems.
Built Cika, an autonomous mobile robot (amr) waste-collecting robot, built Sentinel, a real-time fraud detection platform, building GramAI quantisized LLM for local usage, and Arxis a RAG platform.
Notes, experiments, and things I'm building.
Open to ML and robotics engineering roles, and exploring graduate research in robotics. Best way to reach me: email.
About
I build autonomous robots and the machine learning systems behind them. ROS2 navigation stacks, sensor fusion, and the MLOps pipelines that take models from notebook to production.
My ML background spans data analytics and MLOps internships at Hamoye, demand forecasting and reporting work at SLB, and building production-style pipelines end-to-end feature stores, model registries, drift monitoring, the parts that don't show up in a notebook.
I like working close to the hardware too: debugging sim-to-real gaps, tuning EKF configs, getting a robot to actually do what the simulation promised.
My capstone, Cika, is a 4WD skid-steer robot that navigates and sorts waste using SLAM, Nav2, and on-device perception. On the ML side, I built Sentinel, a nine-container MLOps platform for real-time fraud detection, and I'm currently building GramAI and Arxis a quantized local LLM debugging assistant and a RAG platform, respectively.
Outside of building, I write The Nerd Stack, a newsletter on robotics, MLOps, and ROS2, and occasionally on Medium.
Currently
Finishing Cika, an autonomous waste-collecting robot, for my B.Eng. capstone.
Building GramAI for the Africa Deep Tech Challenge 2026 (Gate 1: Aug 25).
Building Arxis an end-to-end RAG platform.
Interests
ROS2 & Robotics
Machine Learning
Technical Writing
Achievements
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2026 (Current)
Africa Deep Tech Challenge 2026
Paste a traceback, get a fix. Building GramAI, an offline Python debugging assistant, for Gate 1 (Aug 25).
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July 2026
B.Eng. Mechatronics Engineering, Nile University of Nigeria
Graduating with a capstone project on Cika, an autonomous ROS2-based waste-collecting robot.
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2025
Reservoir Performance Intern, SLB
Seven-month internship in Port-Harcourt covering data acquisition, demand forecasting, and Power BI reporting.
Maintenance of oil field equipment for Coiled Tubing and High-Pressure pumping services.
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2025
Sentinel: Fraud Detection MLOps Platform
Built and documented a eight-container MLOps stack for real-time credit card fraud detection.
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2022–2023
Hamoye AI Internships
Data analytics and MLOps internships, including containerized model deployment with Docker and Kubernetes.
Currently Shipping
End-to-end MLOps platform for credit card fraud detection. Nine-container Docker Compose stack: Airflow, MLflow, Feast, FastAPI, PostgreSQL, MinIO, Redis, Streamlit. Sub-10ms feature serving, daily automated training pipeline.
Python traceback debugging assistant built on Qwen2.5-3B via llama.cpp, with a two-tier RAG corpus for grounded fixes. Built for the Africa Deep Tech Challenge 2026.
Path Planning Algorithm Analysis
shippedComparative study of BFS, DFS, A*, and a Genetic Algorithm on static and dynamic grid environments. Custom C++ visualization engine built with Raylib, benchmarked across a 100x100 grid with moving obstacles.
Recent Writing
Vision Language Action (VLA) Models
A look at how VLA models bridge perception and physical movement, from RT-2 to pi0.
GitHub Activity
Duks31
GitHub →
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