Zulaygha Samsodien

Innovative BEng Honours graduate in Computer Engineering with expertise in embedded systems, software development, artificial intelligence, and IoT technologies. Experienced in designing engineering solutions through academic research and projects, with skills in Python, C/C++, Java, JavaScript, MATLAB, and machine learning frameworks. Committed to developing data-driven technologies and contributing to multidisciplinary engineering teams.

Second Prize – RS Components Final Year Engineering Project Award | 2025

• Awarded Second Prize by RS Components for the AI-Enabled Smart Vital Signs Monitoring System, recognizing excellence in the design and implementation of an innovative final-year Computer Engineering project.

Golden Key International Honour Society – Academic Membership | 2023

• Inducted into the Golden Key International Honour Society in recognition of outstanding academic achievement .

Adrian, Wyngaard, wyngaarda@cput.ac.za, 0741412733

1. PSO-Based Ventilation System Controller for Air Quality and Energy Optimization | Honours Engineering Research Project

• Designed and implemented an intelligent embedded ventilation control system using Particle Swarm Optimization (PSO) to optimize indoor air quality while minimizing energy consumption through real-time control of temperature, humidity, and CO₂.
• Developed embedded firmware and hardware using Arduino, C/C++, Python, DHT22, CCS811, and MOSFET-based fan control, validating system performance through simulation and experimental testing.

2. AI-Enabled Smart Vital Signs Monitoring System | Final Year Engineering Design Project

• Designed, developed, and integrated an intelligent IoT healthcare monitoring system combining embedded systems, wireless communication, mobile application development, and biomedical sensor interfacing for real-time patient monitoring.
• Implemented secure Android-based patient management, AI-assisted anomaly detection, centralized data storage, and emergency alert functionality using Arduino Uno, ESP32, Java, C++, and Bluetooth/Wi-Fi technologies.

3. BGP-LS Network Topology Visualizer with LSP Overlay | Next Generation Networks Project

• Developed a Python-based Software Defined Networking (SDN) application that parsed RESTCONF JSON data from an OpenDaylight controller to dynamically visualize BGP-LS network topologies and MPLS Label Switched Paths (LSPs).
• Integrated Traffic Engineering (TE) metrics and built a modular visualization tool, validating functionality in a virtual networking environment using OpenDaylight, GNS3, VyOS, Ubuntu, NetworkX, and Flask.

4. Artificial Neural Network (ANN) Classification Model | Artificial Intelligence Project

• Developed an end-to-end supervised machine learning pipeline, including data preprocessing, feature preparation, ANN model development, training, and evaluation using TensorFlow and Keras.
• Applied hyperparameter optimization and performance evaluation techniques to improve model generalization and validate predictive accuracy on real-world datasets.

• Artificial Intelligence 5 (AIN580S) Class Representative, 2025
• Computer Engineering Honours Class Representative, 2025
• Student volunteer – IEEE GlobeCom, 2024