Electronics & Telecommunications Engineering Graduate
Connecting Circuits, Signals and Intelligence.
I build and deploy embedded AI systems on real hardware — not just in notebooks.
I am a 2026 Bachelor of Engineering (Honours) graduate in Electronics & Telecommunications Engineering from Middle East College, Oman. My work sits at the intersection of electronics, embedded systems, artificial intelligence, IoT, robotics, and communication technologies.
I enjoy turning technical ideas into practical prototypes by integrating sensors, microcontrollers, cameras, interfaces, and edge AI models into complete working systems.
| SYSTEM METRIC | VERIFIED RESULT |
|---|---|
| Bachelor's GPA | 3.75 / 4.00 |
| Final result | 89.38% |
| AI simulation accuracy | 90.43% |
| Embedded inference | 248 ms on Orange Pi 4 Pro |
Current status: Open to graduate engineering opportunities in Embedded Systems, Electronics, IoT, Telecommunications, Instrumentation, and AI-enabled engineering.
| AREA | ENGINEERING TOOLKIT |
|---|---|
| 01 · Embedded AI & Computer Vision | Python · TensorFlow · Keras · TensorFlow Lite · OpenCV · NumPy · PyQt5 · MobileNetV2 · Transfer Learning |
| 02 · Embedded Systems & IoT | Orange Pi 4 Pro · Arduino Uno · ESP32 · Raspberry Pi · Sensors · Camera Integration · Firebase · Edge Computing |
| 03 · Electronics & Digital Fabrication | Circuit Assembly · Soldering · Testing · Troubleshooting · 3D Printing · Laser Cutting · Silhouette Cameo |
| 04 · Telecommunications | Digital Communication · Signal Processing · Communication Systems · Telecommunications Networks · Antennas & Wave Propagation |
Bachelor's Graduation Project · Individual · June 2026
An embedded AI prototype for preliminary dermoscopic-image screening support, deployed locally on an Orange Pi 4 Pro. The system combines MobileNetV2, TensorFlow Lite, a USB camera, a PyQt5 interface, and Firebase monitoring. It supports preliminary screening only and is not a clinical diagnosis tool.
Embedded AI · MobileNetV2 · TensorFlow Lite · Orange Pi 4 Pro
View case study → · GitHub repository ↗
Diploma Project · Five-student Team · June 2024
An Arduino-based assistive navigation prototype using three ultrasonic sensors, LED feedback, and direction-based audio warnings to support obstacle awareness.
Arduino Uno · Ultrasonic Sensors · Assistive Technology · Embedded Systems
View case study → · GitHub repository ↗
Microcontrollers Course · Five-student Team · Spring 2025
A Proteus simulation of a PIC16F877A safety-alert workflow using Embedded C, LCD interfacing, and digital I/O.
PIC16F877A · Embedded C · MPLAB X IDE · Proteus Simulation
View case study → · GitHub repository ↗
12 April 2026 – 12 July 2026 · Sultanate of Oman
Completed a three-month practical training placement with hands-on exposure to electronics, robotics, embedded systems, educational technology, digital fabrication, and makerspace operations.
- Assembled and tested circuits, components, sensors, and integrated systems.
- Supported soldering, basic fault diagnosis, and connectivity troubleshooting.
- Contributed to Arduino, ESP32, IoT, robotics, and 3D-printing activities.
- Supported learners and visitors during makerspace activities and technical workshops.
| MILESTONE | DETAILS |
|---|---|
| Best Project Poster Award | Middle East College · Spring 2026 |
| Undergraduate Research Grant | Principal Investigator · AI-Based Smart Autonomous Segregation Robot · 2024 |
| IEEE Student Membership | Valid through December 2026 |
| Engineering Graduate | B.Eng. (Hons), Electronics & Telecommunications Engineering · 2026 |
I am open to graduate opportunities, technical collaboration, and roles related to embedded systems, embedded AI, IoT, electronics, and telecommunications.
© 2026 Rudaina Al Farsi · Electronics & Telecommunications Engineering