Professional Overview
Computer Vision Engineer with hands-on experience building and deploying real-time detection and tracking foragriculture, behaviour analysis for security surveillance, and applied AI products. Strong background in modeltraining, dataset development, optimization (TensorRT/ONNX) and production-level deployment using Python,PyTorch, and FastAPI. Efficient at designing end-to-end CV pipelines and improving accuracy, inference speed,and stability in real-world environments.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.