Junior Machine Learning and Computer Vision Engineer

I am a Computer Science and Engineering student specializing in Intelligent Systems and Data Science. My primary interests are machine learning, deep learning, computer vision, natural language processing, and research-driven problem solving.

I have developed practical AI projects involving medical diagnosis, human activity recognition, object detection, image captioning, crop classification, e-waste detection, and rare medicinal plant classification. I work primarily with Python and modern deep learning frameworks to build and deploy data-driven applications.

I have research experience in image processing, self-supervised learning, vision transformers, disease detection, and agricultural AI. My work includes published and in-progress research on cleft lip feature detection, potato disease classification, galaxy detection, crop classification, e-waste management, and vitiligo classification.

I am comfortable with the complete development workflow, including Git, GitHub, Linux, Docker, Jupyter, databases, and web technologies. I have also built software systems for airline management, car rental, lost and found management, and scheduling.

I am an open-source bug bounty hunter and an active contributor who is interested in applying AI and data science to real-world and research-oriented challenges. I also have foundational cybersecurity training and value secure development practices.

I am seeking opportunities where I can grow as a machine learning, computer vision, or data science professional while contributing strong technical curiosity, research experience, and hands-on project development skills.