Technical Skills

Machine Learning & AI: PyTorch, TensorFlow/Keras, Imitation Learning, End-to-End Learning, Predictive Modeling, World Models, Sequence Modeling, CNNs, VAEs, GANs, UNet, familiarity with Transformers and Diffusion Models.

Programming: Python, MATLAB, working knowledge of C++.

Autonomous Systems & Simulation: ROS/ROS2, CARLA, Gazebo, RViz, Autonomous Driving, ADAS, Closed-Loop Simulation.

Control & Vehicle Dynamics: Lane Keeping, Lateral Control, Trajectory Tracking, Classical Control Methods (PID, MPC, Pure Pursuit), State Estimation, Vehicle Dynamics.

Computer Vision & Perception: Classification, Regression, Object Detection, Camera Calibration, Camera–LiDAR Calibration.

Data Analysis & Visualization: NumPy, Pandas, OpenCV, Matplotlib, Jupyter Notebooks.

Systems Evaluation & Testing: Performance Evaluation, Behavioral Analysis, Failure Analysis, Closed-Loop Testing.

Model-Based Design: MATLAB/Simulink, Control Modeling, System Simulation.

Operating Systems & Tools: Linux/Ubuntu, Git.