Umer Ghafoor
@umerghafoor
Robotics engineer with AI, machine learning, and IoT expertise.
What I'm looking for
I am a Robotics Engineer with a strong foundation in AI, machine learning, and IoT technologies. My expertise lies in developing intelligent applications and embedded systems using platforms like Raspberry Pi, STM32, and ESP32, along with proficiency in ROS2. I am passionate about robotic perception and autonomous systems, striving to create impactful solutions that leverage advanced analytics.
Throughout my academic journey at FAST-National University of Computer and Emerging Sciences, I honed my skills in software development, data structures, and artificial intelligence. My projects, such as the AI-Powered Learning Platform and the Autonomous Weed Detection Robot, showcase my ability to integrate complex systems and deliver innovative solutions. I am committed to continuous learning and have completed several certifications in machine learning and OpenCV.
Experience
Work history, roles, and key accomplishments
IoT Plant Monitoring System
IoT Plant Monitoring
Created an ESP32-based system to monitor humidity, temperature, and soil moisture in real-time. Configured the system to send data to AWS IoT Core for cloud-based monitoring and analysis.
AI-Powered Learning Platform
FlashMind
Developed an AI-powered learning platform that generates flashcards and personalized quizzes from user notes. Implemented chatbot support, collaborative learning features, and study streak tracking to enhance user engagement.
Battery Performance Analysis
Battery Performance Analysis
Conducted battery efficiency and longevity analysis using Python, Pandas, and Matplotlib. Developed custom plotting functions and contributed to open-source GitHub repositories for data visualization.
Education
Degrees, certifications, and relevant coursework
FAST-National University of Computer and Emerging Sciences
BS-CS, Robotics & Automation
Activities and societies: Co-Founder and General Secretary at FAST-LADS (Leaders Advancement & Development Society); Coordinator Graphic design at IEEE-FAST (2022-2023) & ISYWSC2022.
Studied core computer science subjects including Data Structures, Object-Oriented Programming, and Operating Systems. Gained expertise in Robotics Technology, Artificial Intelligence, and Parallel and Distributed Computing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
umerghafoor.github.ioJob categories
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