- NLP-Based Automated Summarization : I spearheaded development of a cutting-edge summarization system utilizing state-of-the-art techniques in natural language processing. The project involved designing and implementing algorithms for text pre-processing, feature extraction, and model training, resulting in a highly accurate and efficient summarization system. In addition, I collaborated with cross-functional teams to integrate the system into various applications, resulting in improved user engagement and satisfaction. I have a strong background in machine learning, data analysis, and software development, and am always seeking new challenges and opportunities to expand my skills.
Utilized tools: Hugging-Face, Sentencepiece,Transformers, and NLP techniques for text pre-processing, feature extraction, and model training.
- Segmentation and Classification for 3D Pointcloud: "As a skilled Machine Learning Engineer, I led the development of a project for the segmentation and classification of 3D point-clouds. My project involved designing and implementing algorithms for point cloud pre-processing, feature extraction,and model training using deep learning techniques. I successfully segmented and classified point clouds into
different object classes, resulting in improved object detection and recognition in autonomous Systems.
Utilized tools : Point-cloudlibrary(PCL), Tensorflow and PyTorch, Git.
- Smart AFD: Being an automation project,I was involved in developing the automation tool for utilization of excel sheet and generating description of changes that has happened with respect to Assembly part numbers, flow process and any other modification that has been implemented which does not require human assistance for understanding the changes.
Utilized Tools : Python,NLP.