As a data science intern at CCC Intelligent Solutions, I engineered prompts for visual language models to enable faster and accurate damage summarization for insurance claims. I also deployed a pipeline to remove PII in both visual and textual data, enhancing the feature store for inbound subrogation models. Additionally, I created a package of metrics to evaluate the quality of generated text with ground truths.I graduated with my Master's degree from the University of Southern California, with a focus on machine learning and deep learning. I have a bachelor's degree in computer engineering from Thadomal Shahani Engineering College, where I worked on small-scale visualizations and deep learning projects. I have gained multiple certifications in deep learning for computer vision, artificial intelligence, and neural networks from reputable organizations. I am proficient in RNN, Angular, and Material-UI, among other skills.My goal is to further accustom myself with ML algorithms and deep learning frameworks, and to apply them to real-world problems. I am looking for full-time roles in ML/DS/SWE, where I can leverage my skills and experience to contribute to the team and the organization. I am passionate about building a career around these fields.