
raphaeljuwe
Results driven enterprise Deep Learning Software Engineer (Artificial Intelligence) offering experience within corporate and academic aspects of biomedical informatics, healthcare technology, preclinical and clinical research in Bioinformatics, data analytic tools for Next Generation Genome Sequencing of computational large genomics datasets. My primary interests entail application of, AWS data science workflows, Deep Learning Architectures in Bioinformatics, Neuroinformatics, and Cancer Genomics for discovery and disease management projects in Cancer Genomics, preclinical studies, creating rapid data pipelines with application of sequential pattern mining for Transactional Computational Biology, and Bioinformatics working with Tensorflow, FastAI, Keras frameworks implementing new academic papers, solving challenging problems.