Abdul Qayyum

At Tektronix Technologies, I build LLM/RAG operations assistants connected to live system APIs and knowledge bases, with permission and module controls. These support tasks including vehicle search, device health, parking status and access events.

I also develop real-time computer vision for face recognition, ANPR, vehicle detection, tracking and classification using PyTorch, YOLOv8, OpenCV and ONNX Runtime. My work connects these AI pipelines to Python services, cameras, edge devices and access-control hardware.

For customer-facing integrations, I work from requirements and technical design through implementation, deployment and field validation. I troubleshoot production issues across services, networks, databases, video streams and hardware, and design event workflows with retries and recovery.

Earlier, I built vehicle analytics pipelines as an AI / Computer Vision Engineering Intern and ML prediction models as a Data Science Intern at YBL Foundation. I have also worked on edge recognition with Raspberry Pi and ONNX inference, and delivered systems for customers in the UAE, Saudi Arabia and Egypt.