Summary
Samin Bin Karim is a vehicle control test and validation engineer with nine years of experience building and validating AI-powered control systems across MIL/SIL/HIL/VIL pipelines. He led development and on-vehicle deployment of ADAS features — including Stanley-based lane centering and IRL-driven adaptive cruise — on a Cadillac LYRIQ, and designed pedal maps, regenerative braking and one-pedal drive controllers validated with real BLF data. Comfortable across MATLAB/Simulink, Speedgoat, CANalyzer and Python, he also automated CI/CD for control-system testing and wrote internal DevOps practices to scale safe development. As co-founder and CTO of an award-winning AI startup he applied interpretable Vision Transformer models and SHAP explanations to urban flood mitigation, showing a knack for marrying ML transparency with operational systems. Notably, his research work created context-aware RL agents that learn local traffic norms in bespoke simulators, reflecting a blend of practical vehicle integration and experimental AI research.
9 years of coding experience
2 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Illinois Institute of Technology
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Independent University, Bangladesh