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I am an accomplished Ph.D.-level AI Scientist passionate about exploring Artificial Intelligence (AI), Deep Learning (DL), Algorithms, Mathematics, and Problem Solving. My enthusiasm for AI development spans from its theoretical underpinnings to real-world deployment. Throughout my career, I have gained diverse experience in various domains, including Affective Computing, Multimodal Personality Assessment and Sentiment Analysis, Natural Language Processing (NLP), Large Language Models (LLMs) and Foundation Models, Assistants based on Retrieval Augmented Generation (RAG) techniques, Text Correction using language models, Recommender Systems, Speech Emotion Recognition, Citation Analysis, COVID-19 Speech Research and Time Series Signal Processing.

My exposure to these projects has equipped me with a deep understanding of the intricacies of ML problems, along with technical implementation patterns and hands-on experience with cutting-edge industrial technologies, enabling me to build end-to-end ML pipelines. My solid foundation in mathematics and statistics enables me to comprehend the theoretical basis of the employed methods, scrutinize datasets, and evaluate the performance and validity of model results. In addition, my proficiency in algorithm design and problem-solving allows me to create precise and efficient algorithms to tackle challenges arising in practical settings.

Beyond my core interests, I also enjoy delving into philosophy, psychology, and quantitative finance. As a versatile and driven professional, I am eager to employ my skills and insights to drive innovative solutions in interdisciplinary fields as well.