Danah Alakrash

Innovative professional AI Engineer and Full-Stack Developer specializing in technical AI roles. Experienced in designing and deploying intelligent software solutions, from integrating machine learning models to building responsive web interfaces. Specialized in system optimization and real-time processing, with a strong commitment to creating efficient, scalable, and high-performance applications.

Full-Stack Developer at Nighat (2025-06 – 2025-08)

• Designed and deployed YOLOv8-based object detection models, achieving 98%+ accuracy in classifying and grading dates on industrial sorting lines.
• Integrated AI models into Raspberry Pi edge devices, enabling real-time inference at 10+ FPS.
• Optimized model performance, reducing latency by 30% through pruning and quantization.
• Collaborated with software engineers to connect models to a React-based monitoring dashboard with live image feedback and production stats.
• Contributed to the full AI pipeline: dataset annotation (30K+ images), model training, evaluation, deployment, and live system integration.

Bachelor of Computer Science in Computer Science – Qassim University (2026-06)