Karthik Venkataramani is an Applied Scientist with ~10 years of experience specializing in geospatial and machine learning solutions that turn satellite observations into analysis-ready, real-world products. Currently at Amazon, he brings a strong research pedigree from the University of Washington and NASA JPL where he developed deep learning methods to refine DEMs and harmonize optical with SAR data. His PhD and MS in Electrical and Computer Engineering from Virginia Tech underpin a rare mix of expertise in remote sensing, GNSS/space-weather modeling, and operational software for real-time data pipelines. Past projects include ML-driven GPS disruption forecasting (with substantial performance gains), reinforcement learning for space communications, and involvement in NASA/NSF field and rocket missions. He is passionate about open source and building reproducible, well-documented tools that bridge research and user-ready applications. Not immediately obvious: he pairs atmospheric/space physics modeling experience with hands-on engineering of production data systems, enabling both scientific insight and deployable solutions.
10 years of coding experience
12 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Virginia Tech
Bachelor of Engineering, Electronics and Telecommunications, Bachelor of Engineering, Electronics and Telecommunications at University of Mumbai
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Karthik Venkataramani - Applied Scientist at Amazon