Mayank Tripathi

Collaborated on a team that delivered a state-of-the-art image recognition system, reducing false positives by 25 percent. Led the development of a cutting-edge Large Language Model (LLM) for enhanced natural language understanding, and spearheaded Generative AI initiatives, resulting in the creation of novel and realistic content. Collaborated seamlessly with cross-functional teams, contributing to UI/UX design, backend development, DevOps, and frontend integration and mentored junior engineers, fostering a knowledge-sharing environment.

Designed and implemented over 10 machine-deep learning models for different projects. Collaborated in the end-to-end development of machine learning projects, from data collection and preprocessing to model selection, training, and deployment. Developed and deployed custom AI/ML solutions to address diverse challenges in Natural Language Processing (NLP), Computer Vision, and Data Science domains.

Built and trained a deep learning model for object detection and segmentation in machine imagery, enabling more accurate and efficient industry response efforts. Developed and implemented machine learning models using OpenCV and scikit-learn for computer vision applications.

Conducted experiments to evaluate the performance of machine learning models and identify areas for improvement. Conducted research in data science, machine learning and deep learning under the guidance of a professor. Conducted data analysis and pre processing to prepare data for machine learning models.