Basit Abdulsalam
@basitabdulsalam
Innovative Computer Vision Engineer specializing in AI solutions.
NigeriaWhat I'm looking for
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
Research Intern
International Institute of Tropical Agriculture
Nov 2023 - Present (1 year 7 months)
Researched and troubleshot electronic systems, reducing downtime by 25% using embedded diagnostics. Informed data-driven maintenance strategies through detailed analysis and reporting.
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.
Research and Development Lead
Aplus Solar Systems
Mar 2023 - Present (2 years 3 months)
Led research and development of a solar energy curriculum, training over 50 technicians on embedded system integration. Enhanced hardware-software synergy through comprehensive training programs.
Research and Development Engineer
Aplus Solar Systems
Mar 2023 - Present (2 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.
Machine Learning Engineer
Freelance
Oct 2020 - Present (4 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.
Embedded Systems Engineer
Soft Click Technologies
Oct 2020 - Present (4 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
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.
Tech stack
Software and tools used professionally
Availability
Location
NigeriaAuthorized to work in
Job categories
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