Ramsha Shahid

Machine Learning Engineer at High Plains Computing

Model building and implementation of Large Language Models (LLMs) and Transformers. Retrieval Augmented Generation using LangChain with Mistral7B. Fine-tuned Flan-T5-base model for multiple use cases. Leveraging Q-LoRA to fine-tune Mistral 7B for enhanced performance. Data pre-processing for multiple data science projects.

Robotics Engineer (Research Associate) at Control Automotive and Robotics Lab (CARL) – NCRA, BUITEMS

Integrated IMUs and odometry in Snake Hardware using ROS. Implemented localization for a dynamic Snake Robot. Implemented five different locomotive gaits for the developed snake. Performed power analysis of gaits. Conducted software and hardware integration with ROS for standardized communication and control of the snake robot. Managed compliance control of snake robot adaptation. Reviewed research articles related to waiter and customer service robots.

Robotics Engineer (Research Assistant) at Control Automotive and Robotics Lab (CARL) – NCRA, BUITEMS

Developed and implemented Sensor Fusion techniques and published related papers in IEEE international conferences. Performed detailed CoppeliaSim simulations to enhance system performance. Conducted software and hardware integration with ROS for robust communication and control. Supervised a final-year undergraduate project titled “Localization of the Snake Robot.”

Machine Learning Engineer at High Plains Computing

Model building and implementation of LLMs and transformers; Retrieval Augmented Generation using LangChain with Mistral-7B; fine-tuned Flan-T5-base for multiple use cases; leveraged Q-LoR A to fine-tune Mistral-7B for enhanced performance; data preprocessing across multiple data science projects.

Robotics Engineer (Research Associate) at Control Automotive and Robotics Lab (CARL) – NCRA, BUITEMS

Integrated IMUs and odometry in Snake Hardware using ROS; implemented localization for a dynamic Snake Robot; developed five locomotive gaits for the snake; performed gait power analysis; software and hardware integration with ROS; managed compliance control of snake adaptation; reviewed articles on waiter and customer service robots.