WHY I STUDIED THIS
Computer vision is the bridge between raw sensor data and machine intelligence. I studied OpenCV alongside deep learning frameworks (TensorFlow, PyTorch) to understand how images and video are processed, transformed, and fed into neural networks. This gave me practical grounding in the full ML pipeline — from data ingestion to model deployment — which informed how I thought about AI validation layers and data quality pipelines at HL Mando. Vision is also increasingly critical in automotive tech: from ADAS systems to PBV sensor integration.