Vantage V01
A head-worn wearable giving near-360° spatial awareness, obstacle detection at multiple heights and real-time text recognition. Built and tested with blind and visually impaired users through Al Noor CRID.
I build hardware that has to work in front of the person who needs it.
Final-year Computer and Autonomous Systems engineering student at the University of Wollongong in Dubai. CAD and schematics, embedded and electrical systems, PCB design and testing, RF and antennas — and the documentation that keeps all of it traceable.
I am in my final year of a BEng in Computer and Autonomous Systems at the University of Wollongong in Dubai, graduating in June 2027. My work sits where electrical and embedded hardware meets the people who have to use it.
That has meant CubeSat avionics at SpacePoint, antenna design and electromagnetic simulation at UOWD, and founding Vantage Vision, an assistive wearable for blind and visually impaired users. Across all three, the part I care about most is the unglamorous part: checking a layout against the requirement before it goes to fabrication, and keeping the records straight so the next person can follow what changed.
BEng, Computer and Autonomous Systems — University of Wollongong in Dubai. Final year, graduating June 2027.
Artificial Intelligence and Cybersecurity Track, Summer School — Khalifa University, Abu Dhabi. May 2026.
Dubai, United Arab Emirates.
A head-worn wearable giving near-360° spatial awareness, obstacle detection at multiple heights and real-time text recognition. Built and tested with blind and visually impaired users through Al Noor CRID.
Designed, simulated, fabricated and tested a wearable antenna for biomedical and wireless use. Full-wave EM simulation with each revision documented against its measured performance.
Command and Data Handling Subsystem for CubeSat missions. FPGA and MCU integration, avionics software and subsystem-level testing, with the test and design records maintained alongside.
An EMG-controlled assistive hand for stroke and paralysis rehabilitation. Dry electrodes detect muscle activation and user intent, paired with a gamified mixed-reality environment to make repetitive therapy bearable.
An on-device edge AI system predicting HVAC operating behaviour from a five-parameter model. Inference runs locally with embedded sensing, so prediction does not depend on a constant cloud connection.
A wellness concept addressing burnout among paramedics, monitoring indicators and delivering targeted interventions. Full interface prototype, awarded Distinction in the Stanford-affiliated programme evaluation.
Stages, judging panels, exhibition floors and the users the work is actually for. Hover any frame for full colour.
Fig. 9 — Field record, 2025–202608 frames
Open to engineering internships, research and collaborations — particularly in hardware, energy and assistive technology.