Throughout my career, I have worked with Python and C++, the two languages I have the most experience with. Moreover, I have been able to use other programming languages to solve other challenges when they are more useful than the languages mentioned above. I would address problems with programming. However, now I am interested in machine learning and I am trying to resolve challenges using machine-learning methods, especially deep-learning methods.
During my academic and industry journey, I have done several projects including object detection, image segmentation, audio classification, image generation, and audio generation. These projects have been solved by deep learning. These projects helped me to gain strong fundamentals about deep learning. At the end of my master's program, I realized I was fascinated by multimodal machine learning, few-shot learning, and deep reinforcement learning. That was the most promising path in my professional life and I am currently seeking to gain more experience.
My areas of interest include machine learning, computer vision, signal processing, natural language processing, robotics, and data science in chemistry and medicine.
Ac-Score is a Number Between 150-850 Representing Your Entire Academic Activities. This Number Not Only Gives You a Vision of Your Strengths and Weaknesses in Your Academic Background but Also Helps You Compare Yourself with Other Competitors in This Domain.
Throughout my career, I have worked with Python and C++, the two languages I have the most experience with. Moreover, I have been able to use other programming languages to solve other challenges when they are more useful than the languages mentioned above. I would address problems with programming. However, now I am interested in machine learning and I am trying to resolve challenges using machine-learning methods, especially deep-learning methods. During my academic and industry journey, I have done several projects including object detection, image segmentation, audio classification, image generation, and audio generation. These projects have been solved by deep learning. These projects helped me to gain strong fundamentals about deep learning. At the end of my master's program, I realized I was fascinated by multimodal machine learning, few-shot learning, and deep reinforcement learning. That was the most promising path in my professional life and I am currently seeking to gain more experience. My areas of interest include machine learning, computer vision, signal processing, natural language processing, robotics, and data science in chemistry and medicine of neurons