I am a recent computer science graduate with a Bachelor's Degree in Computer Science. I am self-driven, possess excellent communication skills, have a problem-solving attitude, and work well in a collaborative team environment. Additionally, I have the ability to work independently and am known for my hard-working and passionate nature. I am eager to take on new challenges and continue learning on the job. My goal is to secure a position as an iOS developer, utilizing my strong understanding of Swift programming and passion for creating user-friendly mobile applications. I have gained hands-on experience through various projects, and am committed to staying current with advancements in iOS development. I am confident in my ability to bring my technical skills, creativity, and passion to a dynamic work environment, where I can continue to grow and make a positive impact.
I was part of a team that developed a web-based medical visual question answering system using AI. This system combines computer vision and NLP to provide answers to questions related to radiology images in a clinically relevant manner. The system utilizes a CNN architecture for visual feature extraction and transformers for question processing. The results were satisfactory, achieved through fusion using the MFB method. This project was a valuable contribution to the field of AI in medical imaging, addressing the need for improved interaction with medical images.