Sournav B is an engineer with 8 years of experience building safety-critical flight software and applied machine learning at NASA Johnson Space Center through METECS. He develops Class A cFS flight software for the lunar Gateway and designs ML systems for logistics and RFID localization on ISS projects like REALM. A Texas A&M MS in Computer Science (4.0), he led research across computer vision, quantum computing, and aerospace simulation, blending academic rigor with hands-on avionics experience. His background includes defense-focused data science roles and satellite SIM/FSW internships, giving him a rare cross-domain fluency in embedded flight systems and production ML. Based in Houston, he pairs stringent software engineering practices for human-rated systems with practical ML tooling to solve operational spaceflight problems.
8 years of coding experience
4 years of employment as a software developer
Masters of Science, Computer Science, 4.0, Masters of Science, Computer Science, 4.0 at Texas A&M University
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