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Muhammad Abdullah

@muhammadabdullah16

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Electrical Engineer specializing in embedded systems and IoT solutions.

Pakistan

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What I'm looking for

I seek a role that fosters innovation and allows me to work on cutting-edge technologies in embedded systems and IoT, with opportunities for professional growth and collaboration.

I am an Electrical Engineer with a strong focus on embedded systems and IoT solutions. My experience includes developing real-time monitoring systems, sensor integration, and machine learning applications for predictive analytics. I have a solid foundation in hardware interfacing and wireless communication protocols, which allows me to optimize data-driven systems effectively.

During my internship as an Embedded Systems Engineer at ArtiCares, I architected portable embedded firmware solutions that comply with international medical device standards. I also implemented secure Over-the-Air updates for medical rehabilitation robots, showcasing my ability to work within regulatory frameworks. My research internship at NCIL Lab involved building a USV for ML-based heavy metal trace prediction, where I integrated various sensors for real-time data acquisition and developed datasets and ML models for visualizing water quality metrics.

In addition to my technical skills, I have demonstrated leadership through participation in innovation competitions and entrepreneurial ventures at my university. I am passionate about leveraging my skills in programming and AI to create impactful solutions in the field of embedded systems and IoT.

Experience

Work history, roles, and key accomplishments

Current

Embedded Systems Engineer Intern

Current

ArtiCares

Jun 2025 - Present (0 months)

Architected portable embedded firmware solutions supporting multiple microcontroller platforms (STM32, ARM Cortex-M series) while ensuring compliance with international medical device standards. Implemented secure Over-the-Air updates for medical rehabilitation robots following regulatory and software lifecycle standards.

Embedded Software ARM Cortex M Regulatory Compliance

Research Intern

NCIL Lab, SEECS

Oct 2024 - Present (8 months)

Built a USV for ML-based heavy metal trace prediction in surface water by integrating ESP-32 with GPS, EC, TDS, pH and Temperature sensors for real-time data acquisition and LoRa Nodes for long-range wireless communication. Developed datasets, ML models and web-based dashboard for visualizing water quality metrics and abiotic parameters.

GPS Machine Learning Web Development

AI & Software Development Intern

Centre of Artificial Intelligence and Computing, NASTP

Jun 2024 - Present (1 year)

Developed an ECG anomaly detection model achieving 90% accuracy using Temporal Convolutional Networks (TCN). Implemented ML pipelines, delivering projects 20% ahead of schedule.

ECG Anomaly Detection Machine Learning Pipelines Project Management Deep Learning

Education

Degrees, certifications, and relevant coursework

NUST – SEECS

Bachelor of Engineering, Electrical Engineering

Activities and societies: FICS 2025 (an innovation competition), Stage 2. Social Media Marketing and Finance for SEECS-KHAAPA (an Entrepreneurial venture at my University Department)

Focused on embedded systems and IoT solutions, gaining expertise in real-time monitoring systems, sensor integration, and machine learning applications. Coursework included Embedded System Design, Digital Signal Processing, and Microprocessor Systems.