Invented and developed a Deep Learning model for music generation using Generative Adversarial Networks (GANs) to generate affordable personalized unique soundtracks for content creators such as Youtubers, Instagrammers or Podcast Creators • Recruited project partners and assigned tasks per topics and competency• Lead P&L turnover and cashflow projections • Pitched to VC and potential investors, developed the brand image(Techs: PyTorch, CUDA, pySpark, GAN)

• Created, developed and implemented a new Deep Learning model tool to help radiologists interpret medical imagery and identify pathologies with Artificial Intelligence, focused on humerus damages, grading in pathology and enabling differential diagnoses. Improvement of recognition scored up to 82%• Interviewed several radiologists to understand their diagnostic thought process, researched in encyclopedic medical documentation• Automated bone recognition to zoom on the humerus developing image filtering on x-rays scans• Built a supercomputer to run CPU intensive algorithm (Techs: Python, Keras, Computer Vision, PCA, SIFT)

Research in applied algorithms.• Designed and implemented a Big Data simplified mathematical model in an algorithm to simulate the spread of a virus in a pandemic where humans do not try to stop it. Used geographic origin of the virus, lethality, R-Nought (how easily it spreads) and mode of transmission.• Designed an interactive map to show the timeline evolution of the pandemic spread and effects of unilateral response strategies• Collected massive documented data including epistemologist formulas, population per city, number of mosquitos per latitude, GDP per country (correlated to probability of travel), number of partners yearly per capita per country for STD