Mohammad Aman Ullah Khan

Strong theoretical background in Machine Learning and an in-depth understanding of optimization, information theory, probability, and statistics. Extensive experience using Deep learning models and frameworks like PyTorch, TensorFlow, RNN, and Transformers. Programming skills and ability to write clean and maintainable research code. Solid understanding of linguistics’ theory and principles (semantic relations, parsing methods, etc.) Skilled in collaboration and data analysis with ML models, actively seeking new challenges to drive innovation and contribute to the field's advancement. I believe that if you devote time and effort to finding a solution to a problem, you will succeed. My strengths include the ability to work well with others and my proficiency in extracting insights from various types of data, using machine learning models on them. While working on academic and extracurricular projects, I developed my skills in C, C++, Python, Java, and Latex. Working on several group projects helps me to gain communication as well as planning skills. More precisely, my goal is to develop tools that help to contribute to the health sector in a structured way through machine learning and artificial intelligence.