I'm the CTO of ClearSky Vision, a start-up dedicated to making satellite imaging data more up-to-date, accessible, and meaningful. Our mission is to enable daily monitoring of the earth's natural resources by improving the way we use satellite data through predicting what's underneath cloud cover daily and extracting valuable information even from partly cloudy and hazy optical satellite images.In our quest to deliver cloud-free Sentinel-2 data, we utilize multiple satellite constellations, embracing both Synthetic Aperture Radar (SAR) and optical data. This unique approach allows us to provide a clearer, more comprehensive picture of the Earth's surface, every day, regardless of the weather conditions.My academic and professional journey has been driven by a deep interest in Machine Learning and Space technologies. My expertise includes Deep Learning, Computer Vision, and working with time series data and Recurrent Neural Networks. I have a particular fascination with the potential of SAR and optical satellite images, which has been a fundamental aspect of my work at ClearSky Vision.I'm always eager to connect with other enthusiasts, professionals, and thought leaders in the field. Feel free to reach out if you're interested in discussing the future of satellite imaging, machine learning innovations, or potential collaborations. Let's shape the future of space technology together!