As a highly motivated Computer Engineering graduate, I bring hands-on experience in artificial intelligence, computer vision, software development, and workflow automation. I have led and contributed to impactful projects such as a wearable system for the visually impaired (EyeCU), facial recognition-based store analytics, and deep learning models for Bell’s Palsy severity detection and nail disease classification. Additionally, I have designed and implemented automation workflows using N8N, streamlining repetitive tasks, integrating APIs, and improving operational efficiency. My technical strengths include proficiency in Python, C++, shell scripting, and frameworks for machine learning and deep learning. I am also well-versed in Linux system administration, Git-based collaboration, and SQL database management. With a solid foundation in both research and real-world applications, I thrive in dynamic environments, continuously seek out new challenges, and am committed to delivering innovative, data-driven solutions.
