About

Carola Sundaramoorthy is a Robotics Specialist currently pursuing her Master's in Computing with a specialization in AI at the National University of Singapore. With over 5 years of relevant experience, she has worked extensively in developing the perception and localization stack for autonomous Mobile Robots and ADAS systems for autonomous vehicles. Her research interests include Robotic Perception, Motion Planning in a crowded area, Motion Prediction, Localization, and various DL architectures like Transformers and GANS. She has completed the Udacity self-driving car Nanodegree and Coursera Machine Learning course by Andrew Ng and Deep learning course by Andrew Ng. Prior to her current role, Carola has worked on Data Warehousing, Business Intelligence, and various ETL tools, and has good working experience with a large amount of data, including data exploration, feature engineering, and making data-driven decisions. Her competencies include Artificial Intelligence, Machine Learning, Deep Learning, Python, C++, C, Java, TensorFlow, Keras, Pandas, NumPy, Scikit-Learn, Image Processing, convolution neural networks, Data Analysis, Data Visualization, Data structures, Algorithms, SQL, ROS, and more. Carola has worked with companies such as Panasonic Asia Pacific and iFollow SAS, where she has worked on developing pedestrian motion prediction using Transformer-based architecture, implementing cloud mapping in a multi-agent environment, exploring Google Cartographer SLAM algorithm, and improving the odometry data received from the wheel encoders. She holds a Bachelor of Technology in Computer Science from JIET and a Master in Computing with AI specialization from the National University of Singapore. Her TechStack includes AI, Mobile, Deep Learning, ML, Research Scientist, SQL, Object detection, Keras, Object Detection, Image Processing, Scikit, TensorFlow, Pandas, Neural Networks, ETL, Python, Java, and more.