SkyWatch
Babar is a platform Engineer at SkyWatch. He holds a Master’s degree in Computer Science specializing in Design and Analysis of Algorithms from the University of Regina, and a Master’s degree in Computer Science specializing in Parallel and Distributed Systems from COMSATS University, Pakistan.
Prior to joining SkyWatch, Babar has contributed to the design and implementation of software systems in electrical and particle trajectories simulation, oil reservoir simulation, medical scheduling, and oncology treatment. In his professional career since 2014, he has worked as an R&D Scientist, Full Stack Software Engineer, Professional Services Delivery Engineer, and Cloud Software Engineer. He has experience in developing both enterprise applications. Babar is a cloud geek and AWS Certified in all associate levels and Machine Learning specialty.
In his spare time, Babar enjoys exploring nature and new cities, long drives, cooking, and helping friends and community in developing technical skills and landing jobs.
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SkyWatch
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SkyWatch is on a mission to make Earth-observation data accessible to the world. Hundreds of trillions of pixels of our planet are captured from space every day. With new applications for this data being discovered constantly, the demand for satellite imagery across many industries is increasing. However, the current process for purchasing satellite imagery is extremely time-consuming and tedious. They experienced this problem first hand while working to predict crop yields by monitoring surface-level ozone movement. After weeks of trying to find the right data, SkyWatch decided to come up with their own solution.