Senior ITS & Systems Integration Engineer at VITRONIC Machine Vision, UAE · MSc Artificial Intelligence candidate at UWE Bristol
I integrate cameras, LiDAR, sensors, control units, networks, databases and backend platforms into reliable intelligent-transportation and traffic-enforcement systems, and I apply machine learning and computer vision to smarter mobility.
USV Systems Integration — Study Notes remain a separate technical resource.
My MSc work on efficient neural networks for vehicle-type classification (VTID2) is summarised on the portfolio. Its code stays private during academic assessment.
- ITS systems integration, commissioning, calibration and root-cause analysis
- Computer vision for intelligent mobility: data quality, leakage-controlled evaluation, efficient CNNs and Grad-CAM
- Networks and communications: routing and switching, MPLS, wireless/RF, VoIP and IMS
- Data-center infrastructure: VMware ESXi, iSCSI storage, Active Directory, Citrix XenApp and Exchange
- Embedded systems and automation: PIC, AVR, Arduino, sensors and PLC
Python · PyTorch · scikit-learn · Pandas · NumPy · Cisco · MikroTik · Ubiquiti · GNS3 · VMware ESXi · VB.NET · mikroC · Proteus · ArduPilot
Browse architecture diagrams, engineering walkthroughs and source galleries for all projects. New illustrations are identified separately from original screenshots and recorded results.

