Husam Arkoubi

Delivering AI innovations in the field of NLP and Computer Vision to our enterprise clients. I lead multiple engineering teams to perform the following:
- Gather and document clients' requirements and translate them into system requirements.
- Design and architect solutions that map directly to system requirements.
- Conduct testing and validation activities to ensure alignment with clients' business requirements.
- Train and educate team members about best practices in the fields of machine learning and systems engineering.

• Conducted market research to establish a business model for the newly created unit.
• Led the AI unit to deliver prototypes of AI products aimed at security applications, like
target detection, tracking, and anomaly recognition using data in various formats.
• Created training programs for the new AI & ML unit employees that span multi-modal
AI, DevOps, and cloud computing.
• Assisted other R&D units in adapting AI technologies in their communication and radar
designs.

• Developed the first fully automated and AI-controlled communication monitoring and
radar detection system for KACST.
• Implement feature extraction pipelines and classification models in Python and C.
• Enrolled in systems engineering activities to align KACST designs with stakeholders
requirements.
• Planned and conducted various tests and deployment projects for KACST products.
• Collaborated with renowned international research centers to design cutting-edge radar
technologies and Internet of Things frameworks.
• Provided consultation services to local government agencies to procure communication
monitoring systems.
• Participated in local defense events to market KACST systems to investors and potential
clients.

• Accelerated machine learning algorithms on FPGAs using VHDL and C.
• Implemented scripts to test the firmware of a software-defined radio (SDR).
• Implemented the upper layer of the TCP/IP stack in C for a wide-band SDR.