I'm a Computer Engineering student (CGPA: 3.91/4.00, Dean's List x3) at the University of Sharjah and a RISE-funded Research Assistant working on UAV-enhanced Integrated Sensing and Communications (ISAC) and 5G/B5G networks. My work spans applied AI, digital signal processing, and full-stack software engineering.
Currently targeting a Summer 2026 internship in telecommunications, signal processing, or radar to apply what I've been learning and contribute to impactful projects.
Research Assistant - ISAC & UAV-Enhanced 5G/B5G Networking University of Sharjah | RISE Competitive Grant | Jan 2025 - Present
Competitively selected to work under a PI with 3,800+ citations and 50+ publications. Independently authored a 30+ source literature synthesis on Massive MIMO detection algorithms covering optimal, near-optimal, ML-based, and sparsity-based approaches.
77 GHz FMCW radar simulator built from first principles — chirp generation, 2D FFT Range-Doppler processing, and CA-CFAR detection. No toolbox dependencies. Achieves Pd ≥ 0.90 at 10 dB SNR. Python/FastAPI port and Docker containerisation planned Jul 2026. → fmcw-radar-matlab
Implemented an NLMS adaptive filtering system for speech enhancement. Achieved +5.14 dB SNR improvement (2.00 dB → 7.14 dB). Benchmarked against RLS, Kalman-LMS, wavelet-domain, and DNN-based approaches. → adaptive-noise-cancellation-dsp
Implemented a complete AM communications chain (32 kHz, fc = 9100 Hz, mu = 0.5). Demonstrated clean voice recovery at 20 dB and 10 dB SNR under AWGN using coherent detection with a 5th-order Butterworth LPF. → am-modulation-demodulation-matlab
A local-first, gamified productivity OS integrating a Gemini-powered AI pilot, live RSS feeds, and a zero-plaintext AES-256-GCM encrypted password vault (PBKDF2, 310,000 iterations). → nexus-dashboard
NVIDIA DLI - Building LLM Applications with Prompt Engineering (Jul 2025)
NVIDIA DLI - AI for Anomaly Detection: XGBoost, Autoencoders, GANs (Nov 2024)
"Building systems at the intersection of intelligence and engineering."