Data Labeler
Worked on segmenting objects on images
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I am a computer science student and researcher with hands-on experience in developing and augmenting high-quality datasets for AI and robotics applications. My work in the SLURM Lab centers on designing novel data augmentation frameworks and synthesizing physically consistent action labels for bimanual robotic manipulation, leveraging advanced computer vision and diffusion-based models. I have co-authored research papers focused on synthetic data generation and scalable data annotation for robotic tasks, ensuring data accuracy and reliability for training machine learning models. My technical skills include Python, C++, ROS, PyTorch, TensorFlow, and a range of simulation and robotics platforms. I am passionate about improving AI systems through precise data labeling, annotation, and augmentation, and have contributed to open source projects and collaborative research in both academic and engineering settings.
Worked on segmenting objects on images
Master of Science, Computer Science
Student Researcher
Lead Embedded Systems Engineer