MSc Mechatronics Engineer | Software Architect | Agritech CEO
I'm Matthew Oduamafu, bridging cutting-edge robotics and software engineering to solve real-world agricultural challenges across Africa. Currently pursuing my MSc in Mechatronics at Ashesi University while developing Verdiq Ltd's AI-powered farming solutions.
Where robotics meets software, and technology meets real-world impact
Pursuing MSc at Ashesi University with focus on AI-driven embedded systems, autonomous robotics, and precision agriculture. Expertise in STM32 microcontrollers, NVIDIA Jetson AI platforms, IoT sensor networks, and real-time control systems for agricultural automation.
4+ years building enterprise-scale systems with Java, C#, and Python. Deep expertise in cloud-native architectures (AWS, Azure, GCP), microservices design, API development handling 100K+ daily requests, and real-time data processing. Contributed to major open-source projects under FINOS.
Founder & CEO of Verdiq Ltd, pioneering intelligent farming equipment across West Africa. Leading product development from concept to deployment, securing funding, building strategic partnerships, and driving our mission to make Africa self-sufficient in agricultural technology.
Ghana-based agritech startup revolutionizing African agriculture with AI, IoT, and embedded systems. Our mission: make Africa self-sufficient in sustainable agricultural technology.
Ergonomic, rechargeable sprayer eliminating manual pumping with adjustable nozzles for precise fertilizer and pesticide application
Lightweight battery-powered rotary blade system that's faster, less physically demanding, and reduces herbicide dependence
Eco-friendly, silent alternative to fuel-powered blowers for efficient pesticide and nutrient application
3-in-1 tool for plowing, mixing, and aeration that saves time, reduces effort, and improves yield consistency
NVIDIA Jetson-powered computer vision system that detects and targets weeds with laser precision, eliminating herbicide use entirely
IoT-based system using STM32 sensors to automate watering based on real-time soil moisture, temperature, and weather data
Building systems that scale, from startups to enterprise
Specializing in AI-driven embedded systems, IoT integration, and robotics for agricultural applications. Developing Verdiq's product prototypes as part of research work.
Enhanced Appolow low-code platform with modular cloud storage (S3, Azure, GCP) and implemented third-party authentication via Keycloak. Developed extensible architecture enabling future integrations.
Contributed to FINOS open-source projects (Perspective, FDC3) for financial services interoperability. Worked with Rust, Java, and C# to enhance data visualization and standards.
Scaled e-commerce APIs to 100K+ requests/day, reduced response times 25% with Redis caching. Built company-wide .NET SDKs reducing redundant code by 40%. Mentored 4 junior engineers.
Collaborated with 10-member team enhancing US-based ERP system using C# and .NET. Applied N-TIER and SOLID principles to improve software reliability and scalability.
First Class Honors ยท 2x Provost's Award for Excellence in Engineering (2018/2019, 2019/2020)
Open to collaborations, investments, and innovative partnerships