Professional Overview
I am experienced Computer Vision Engineer with over four years of expertise in developing and deploying AI-driven models across various industries. My work spans a wide range of applications, including Automatic License Plate Recognition (ALPR), drone-based tree detection and height measurement, medical instrument identification, bottle cap inspection, road layer segmentation, and security and surveillance systems. I have strong proficiency in Python, OpenCV, PyTorch, and TensorFlow, which I have used to solve complex real-world challenges.I have successfully deployed models on edge devices like Raspberry Pi and Nvidia Jetson Nano, enhancing the efficiency and accuracy of real-time systems. One of my most challenging projects involved measuring tree heights from drone footage using image pixel data and camera parameters. I am passionate about leveraging AI to tackle critical problems, and I continuously seek to innovate and deliver impactful solutions across industries. My goal is to apply my skills to create advanced, practical solutions in computer vision.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
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.
