• Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis. • Designing and implementing pipelines for processing and analyzing large datasets. • Analyzing and interpreting complex time series data to provide actionable insights and solutions. • Designing, implementing, and maintaining data-driven models and algorithms. • Collaborating with cross-functional teams to understand data needs and deliver timely solutions. • Ensuring data quality and integrity throughout all processes. • Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data. • Continuously researching and implementing best practices in data science and machine learning. • Contributing to the development and improvement of internal data processing tools and infrastructure.