Summary
Marshall Sweatt is a Software Development Engineer with 11 years of experience, currently building communication and base station software at R&D firm LGS Innovations. He holds a Master's in Computer Science from Colorado School of Mines where his thesis developed navigation, sensing, and communication heuristics for autonomous mobile systems and produced practical WiFi placement and channel-allocation algorithms. Marshall combines hands-on systems and networking research—implementing TCP/IP protocols and k-coverage heuristics—with production engineering, making him adept at turning experimental results into deployable software. Based in Golden, CO, he is a published researcher who brings a methodical, data-driven approach to solving coverage and interference challenges in wireless systems.
11 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Colorado School of Mines
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Colorado Mesa University
English