About

Divyang is a highly motivated and skilled Machine Learning Intern at Apple, with a strong background in Deep Learning and AI. He is currently pursuing his Master's degree in Computer Science at North Carolina State University, where he is working on improving automated peer assessment using Natural Language Processing techniques under Dr. Edward Gehringer's lab. Prior to his current role, Divyang worked as a Software Engineer at SquadStack, where he developed the backend for an AI-powered lead management system called Auctm. His major contribution in this area was building a notification system for agents on CRM and integrating machine learning models to predict the priority of real estate leads. He also worked as a Research Intern at Samsung R&D, where he worked on various NLP problems using transformers like detecting sentence similarity and predicting swearing words. He significantly improved the runtime of an existing model for predicting Negative Natural Language Generation score for Bixby from 5 hours to 5 minutes. Divyang's top skills include Django, Celery, RabbitMQ, PostgreSQL, Pytorch, Deep Learning, Machine Learning, Java, Python, scikit-learn, Keras, Linux, Git, and Github. He has also worked on various projects in his past companies, including designing and implementing features, migrating codebases, creating scalable solutions, and restructuring and implementing home screens. Divyang holds a Master of Science degree in Computer Science from North Carolina State University and a Bachelor of Engineering degree in Computer Science from Birla Institute of Technology, Mesra. His relevant experience in the industry is 0.44 years. Divyang is a highly skilled and motivated individual with a passion for Machine Learning and AI.