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Hi, I'm Adeyemi Ekundayo, a passionate Software Engineer specializing in embedded systems development and firmware programming. I have a strong foundation in hardware-software integration and real-time systems, and I enjoy working on IoT and machine learning projects that solve real-world problems. Throughout my academic journey and hands-on projects, I've gained experience in system optimization, computer vision, and collaborative project development. I pride myself on my problem-solving skills and ability to deliver reliable, efficient solutions across diverse technical environments. Whether it's building modular embedded software or optimizing deep learning models for edge deployment, I like to innovate and improve processes. I'm excited to contribute my skills and continue evolving as a software and embedded systems professional.…Hi, I'm Adeyemi Ekundayo, a passionate Software Engineer specializing in embedded systems development and firmware programming. I have a strong foundation in hardware-software integration and real-time systems, and I enjoy working on IoT and machine learning projects that solve real-world problems. Throughout my academic journey and hands-on projects, I've gained experience in system optimization, computer vision, and collaborative project development. I pride myself on my problem-solving skills and ability to deliver reliable, efficient solutions across diverse technical environments. Whether it's building modular embedded software or optimizing deep learning models for edge deployment, I like to innovate and improve processes. I'm excited to contribute my skills and continue evolving as a software and embedded systems professional.

Adeyemi Ekundayo

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Hi, I'm Adeyemi Ekundayo, a passionate Software Engineer specializing in embedded systems development and firmware programming. I have a strong foundation in hardware-software integration and real-time systems, and I enjoy working on IoT and machine learning projects that solve real-world problems. Throughout my academic journey and hands-on projects, I've gained experience in system optimization, computer vision, and collaborative project development. I pride myself on my problem-solving skills and ability to deliver reliable, efficient solutions across diverse technical environments. Whether it's building modular embedded software or optimizing deep learning models for edge deployment, I like to innovate and improve processes. I'm excited to contribute my skills and continue evolving as a software and embedded systems professional.…Hi, I'm Adeyemi Ekundayo, a passionate Software Engineer specializing in embedded systems development and firmware programming. I have a strong foundation in hardware-software integration and real-time systems, and I enjoy working on IoT and machine learning projects that solve real-world problems. Throughout my academic journey and hands-on projects, I've gained experience in system optimization, computer vision, and collaborative project development. I pride myself on my problem-solving skills and ability to deliver reliable, efficient solutions across diverse technical environments. Whether it's building modular embedded software or optimizing deep learning models for edge deployment, I like to innovate and improve processes. I'm excited to contribute my skills and continue evolving as a software and embedded systems professional.

Available to hire

Hi, I’m Adeyemi Ekundayo, a passionate Software Engineer specializing in embedded systems development and firmware programming. I have a strong foundation in hardware-software integration and real-time systems, and I enjoy working on IoT and machine learning projects that solve real-world problems. Throughout my academic journey and hands-on projects, I’ve gained experience in system optimization, computer vision, and collaborative project development.

I pride myself on my problem-solving skills and ability to deliver reliable, efficient solutions across diverse technical environments. Whether it’s building modular embedded software or optimizing deep learning models for edge deployment, I like to innovate and improve processes. I’m excited to contribute my skills and continue evolving as a software and embedded systems professional.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Precision Vision Control Architect at University of Delaware

May 31, 2025 - July 10, 2025

Delivered a real-time computer vision system achieving 30Hz processing speed with sub-degree targeting precision across a 3-meter range for autonomous beam alignment in wireless power transfer. Optimized OpenCV tracking algorithms to improve reliability by 99% under varying lighting and reduced system failures by 85%. Architected modular embedded software with device drivers and camera interfaces, lowering maintenance time by 40% and enabling hardware scalability. Developed a calibration framework that eliminated manual recalibration saving over 2 hours per deployment and allowed precise 2D-to-3D coordinate mapping for gimbal control.

Deep Learning Optimization Engineer at University of Delaware

May 31, 2024 - July 10, 2025

Developed a CNN model for biometric age estimation achieving 95% accuracy on a dataset of over 10,000 images, outperforming baseline by 12%. Enhanced model robustness by reducing overfitting by 15% compared to baseline ResNet50 through neural architecture optimization including batch normalization and dropout. Enabled edge deployment by compressing the model, reducing inference time by 40% on ARM-based embedded systems.

Integration Specialist & Multi-Threaded Systems Engineer at University of Delaware

May 31, 2024 - July 10, 2025

Developed Arduino IDE module device drivers with interrupt handling and DMA support, enhancing hardware interface performance by 25% for custom hardware. Achieved 99.9% system uptime through a multi-threaded producer-consumer design with mutex synchronization, preventing downtime-related losses. Implemented Test-Driven Development with 90% code coverage, creating unit and integration tests for thread synchronization and device driver modules using a custom embedded testing framework. Reduced memory allocation by 30% with optimized memory management using smart pointers and RAII, integrating 5 additional sensors.

Wireless Sensor Network Developer at University of Delaware

May 31, 2023 - July 10, 2025

Reduced system costs by 60% through optimized ARM Cortex-M4 design with SPI/I2C sensor interfaces, custom PCB design, and component selection. Implemented FreeRTOS task scheduling with priority preemption for real-time data capture from 8 sensors with no data loss. Extended battery life over 6 months via low-power sleep modes and optimization, slashing operational costs by 50%. Secured cloud data with MQTT over TLS providing 99.5% data integrity for remote monitoring.