Emmanuel Akingbade

Building intelligent
industrial systems.

Exploring where software, hardware, data, AI and robotics meet industrial automation.

View ProjectsGitHub ↗LinkedIn ↗
Emmanuel Akingbade
EA
Open to opportunities
About
Why am I in industrial systems?
I found it rather than chose it. My degree is electrical and electronic engineering, majoring in control systems and instrumentation. I picked up data and software on my own. National service put me in industrial IoT, and Industry 4.0 was the first place all of it applied at once. The problems became obvious once I was inside them, and they are not only Nigerian problems.
What's actually wrong with them?
They are still too fragmented, reactive, and difficult to build on. Machines, software, data, and the people running them operate in silos.
What am I interested in?
I keep coming back to the intersection of software, hardware, data, AI, robotics, and industrial automation. More specifically, I want to make physical systems intelligent.
Where am I heading?
Toward architecture. I want to design intelligent industrial systems, not just wire them together.
Projects

What I Am
Building

01
Qorel
Industrial data platform, OT to IT, without treating the edge as an afterthought

Qorel is an industrial edge platform for connecting, normalizing, orchestrating, and intelligently operating industrial systems. It holds data at the gateway when the network drops and syncs the backlog once the link returns, so nothing is lost in between. Alarm lifecycle, data quality, escalation policies, and operator access sit on top.

RedpandaOPC UAModbusMQTTFastAPIReactDockerEdge ComputingPython
Qorel Docs ↗
02
CVops
Real-time computer vision pipeline, edge AI inference for industrial safety

A distributed vision pipeline built for edge-to-cloud video analytics. IoT cameras feed into a streaming microservice chain: preprocessing, YOLO11 object detection, MinIO object storage. Full Prometheus and Grafana observability baked in from the start, covering FPS, latency, detection confidence, consumer lag, and service health in real time. Currently being refactored toward offshore safety monitoring and industrial defect detection use cases.

YOLO11Edge AIIndustrial SafetyKafkaOpenCVPyTorchPrometheusGrafanaMinIODocker
GitHub ↗
03
DigitalThread
Process simulation and real-time state mirroring for industrial assets

In design. Will integrate with Qorel as the live data source layer and extend into real-time process simulation, state estimation, and anomaly detection for industrial equipment. Target use cases include process plant simulation and predictive maintenance scenarios.

Digital TwinsProcess SimulationState EstimationIndustry 4.0Python
⬡ IN DESIGN
Stack

What I
Build With

Industrial & Protocols
Modbus TCP/RTUOPC UAMQTTXBeeNode-RED
Embedded & Edge
Raspberry PiJetson NanoESP32Arduino
Data Engineering
SparkKafkaRedpandaAirflowTimescaleDBPostgreSQLInfluxDBMinIODatabricks
Applied AI
PyTorchOpenCVYOLOAnomaly DetectionAgentic Systems
Observability
PrometheusGrafana
Infrastructure
DockerDocker ComposeFastAPI
Languages
PythonC++SQL
Contact

Want to talk?

I'm open to roles, collaborations, and conversations. If you're building something where physical systems meet data infrastructure, I'd like to hear about it.

LinkedInEmmanuel Akingbade
GitHubAkin-ctrl
Gmailakin4gbade@gmail.com
Open to
  • Roles in industrial IoT, automation, and data infrastructure
  • Collaboration on open projects
  • Questions about anything here