Eman Shahid

1. Conducted synthetic drive data generation using multi-modal AI, enhancing vehicle signal forecasting. 2. Utilized the CARLA Simulator to create training data, improving model accuracy and deployment efficiency. 3. Implemented hybrid datasets combining real OBD2 data with simulated data to optimize model performance. 4. Applied informed machine learning techniques to fine-tune models, significantly enhancing plausibility and reliability.

1. Conducted optimal control strategies for the Fruta pendulum, enhancing system stability and perfromance. 2. Optimized the Model Predictive Control(MPC) controller using acados, leading to improved response times. 3. Diagnosed and resolved real-time issues within hardware and CI/CD pipeline, ensuring seamless integration and deployment

1. Conducted optimal motion planing for automated driving, enhancing trajectory efficiency. 2. Developed and implemented algroithms and unit tests for curve interpolation in Python, improving planning accuracy. 3. Refactoring code using Hydra Toolbox and YAML files.

Assisted in conducting different workshops related to robotics assembly, structure, programming, PCB design and fabrication