About Me
Junior Programmer with a strong academic and professional background, including a double Master degree in Computational Science and Natural Science and Technology. Proficient in cheminformatics, specializing in leveraging machine learning and molecular docking for drug repositioning and drug drug interaction prediction. Experienced in developing timetable based scheduling systems in Apache Airflow, implementing data lakehouse and data virtualization solutions, and building interactive visualizations using LIDA. Skilled in exploring and adapting Large Language Models LLMs to develop customized AI solutions for corporate environments. Adept at combining machine learning, data engineering, and AI driven solutions to deliver innovative and impactful results.
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