Summary
Sharmin Rahman is a Senior Applied Scientist with nine years of experience specializing in multi-sensor state estimation and SLAM for challenging robotics domains. Currently at Amazon, she develops algorithms that fuse visual, inertial, depth, and sonar range data to enable robust localization and persistent mapping in low-visibility marine environments where vision-only methods fail. Her background blends a PhD in Computer Science with hands-on research at the Autonomous Field Robotics lab and industry roles in computer vision, demonstrating an ability to move academic innovations into production settings. Notably, she focuses on practical sensor fusion strategies that prioritize resilience to haze, turbidity, and sparse features—critical constraints for autonomous underwater and surface robots.
9 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Military Institute of Science and Technology (MIST)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of South Carolina