Chennakehava Akhil Pillalamarri

I am a graduate student in the Data Science program at Regis University with a strong interest in machine learning and computer vision. My academic work focuses on applying machine learning techniques to real-world problems, particularly in areas that involve image data and automated analysis.

During my studies, I have worked on projects involving object detection, image segmentation, and data analysis using tools such as Python, PyTorch, and computer vision frameworks. One of my recent projects explores combining YOLO object detection with the Segment Anything Model (SAM) to analyze aviation imagery across different datasets.

I enjoy learning how machine learning systems can be designed, tested, and applied to solve practical problems. I am especially interested in areas such as computer vision, applied machine learning, and building end-to-end ML pipelines that can support real-world applications.

My goal is to continue developing my skills as a machine learning engineer and work on projects that involve intelligent systems, visual data analysis, and scalable machine learning solutions.