Muhammad Adil

As a Machine Learning Researcher, my work spans the intersection of advanced machine learning, computer vision, and geospatial analytics, with a strong focus on real-world applications in environmental technology, aerospace, and remote sensing. I have extensive experience developing, deploying, and optimizing deep learning models for object detection, semantic segmentation, and large-scale geospatial data processing, both on the cloud and edge devices. My research has contributed to innovations in multi-sensor data fusion, autonomous navigation, and the finetuning of large AI models, leveraging platforms such as AWS, GCP, and Nvidia Triton. My multidisciplinary approach combines expertise in Python, deep learning frameworks, and MLOps, driving impactful solutions across mining, environmental monitoring, and aerospace sectors.