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Basit Abdulsalam

@basitabdulsalam

Innovative Computer Vision Engineer specializing in AI solutions.

Nigeria
Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my skills in AI and embedded systems to create impactful solutions.

I am a Computer Vision Engineer with over three years of experience in developing and deploying real-time AI solutions, particularly in embedded systems and MLOps. My expertise lies in computer vision techniques such as segmentation, classification, and detection using TensorFlow and PyTorch. I have a strong background in embedded hardware, including Arduino and Raspberry Pi, and I excel in designing scalable pipelines with Docker and Kubernetes.

Throughout my career, I have been recognized for my research-driven projects, including a plant disease detector that has aided over 100 farmers and an ECG arrhythmia detection system that achieved a remarkable 93% F1 score. I am eager to contribute to innovative projects, such as those at Sunrise Robotics, where I can leverage my skills to create cutting-edge mobile app solutions.

Experience

Work history, roles, and key accomplishments

IA

Electronics Research Intern

International Institute of Tropical Agriculture

Nov 2023 - Feb 2024 (3 months)

Researched and troubleshot electronic systems, effectively reducing downtime by 25% using embedded diagnostics. This critical work informed data-driven maintenance strategies for essential equipment.

IA

Research Intern

International Institute of Tropical Agriculture

Nov 2023 - Present (2 years 7 months)

Researched and troubleshot electronic systems, reducing downtime by 25% using embedded diagnostics. Informed data-driven maintenance strategies through detailed analysis and reporting.

AS

Research and Development Engineer

Aplus Solar Systems

Mar 2023 - Present (3 years 3 months)

Led research and development of a solar energy curriculum, successfully training over 50 technicians on embedded system integration. This initiative significantly enhanced hardware-software synergy within solar energy applications.

FR

Machine Learning Engineer

Freelance

Oct 2020 - Present (5 years 8 months)

Designed a U-Net-based computer vision model for plant disease detection, achieving 99.25% accuracy with TensorFlow, deployed on Raspberry Pi for real-time inference, benefiting 100+ farmers. Developed an ECG Arrhythmia Detection system using ML tools and Python, integrated with Arduino for real-time cardiac monitoring, achieving a 93% F1 score through extensive research and optimization.

ST

Embedded Systems Engineer

Soft Click Technologies

Oct 2020 - Present (5 years 8 months)

Engineered embedded systems for solar panel and CCTV installations, optimizing data collection with Python scripts. Ensured 100% uptime through robust system design and implementation.

Education

Degrees, certifications, and relevant coursework

FA

Federal University of Technology Akure

Bachelor of Engineering (Hons), Electrical and Electronics Engineering

Grade: 4.39/5.00

Completed a Bachelor of Engineering with Honors in Electrical and Electronics Engineering. Focused on the design and evaluation of single-lead ECG acquisition systems using machine learning algorithms for atrial fibrillation detection.

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