Talytha is a highly skilled Artificial Intelligence Engineer and Data Scientist, specialized in climate science. With a Master in Physics from the Technical University of Munich, she has worked as a researcher in Machine Learning (ML) and Climate Physics at the German Aerospace Center (DLR), where she developed and implemented supervised ML models to constrain future climate projections, achieving a 15% reduction in RMSE. She also has experience as a Java Software Developer, designing and developing high-quality software for the German government. As a remote sensing enthusiast, she is particularly interested in working with satellite imagery and Earth observation data to provide innovative solutions to climate change challenges. She is an expert in Python and in ML frameworks such as TensorFlow, Keras, Scikit-learn and PyTorch and is well-versed in various geospatial libraries such as Geopandas, Rasterio, GDAL and Iris. She has also contributed to the development the open source codes: Earth System Model Evaluation Tool (ESMValTool) and Temperature And Radiative Diffusion In Supernovae (TARDIS). She is a certified AWS Software: Cloud Technical Essentials and has completed courses in Artificial Intelligence, such as Advanced Techniques in TensorFlow and a Deep Learning Specialization with focus in computer vision, NLP and Generative Adversarial Networks (GANs). She has a strong work ethic and a proven track record of delivering outstanding outcomes within designated timeframes and budget constraints, making them an excellent asset to any team looking for a skilled and reliable climate AI Engineer/Data Scientist.