About

Naser Peiravian is a seasoned Sr Machine Learning Engineer with over 6 years of relevant experience in the field. Currently working at Twitter, he is responsible for solving complex problems related to text classification, representation learning, and transfer learning. Naser's expertise lies in mining massive data sets, ML/DL pipeline at scale, graph mining, and social network analysis. He has a deep understanding of machine learning algorithms and their applications in real-world scenarios. Naser is skilled in using ML techniques to extract insights from large datasets and has a proven track record of developing and implementing ML models to improve business outcomes. Naser holds a Mining Massive Data Sets Graduate Certificate from Stanford University and a Master's degree from Florida Atlantic University. During his time at Stanford, he gained valuable knowledge and skills in data mining, machine learning, and graph mining. His education has equipped him with a solid foundation in the latest technologies and techniques used in the field of machine learning. Naser's technical skills include ML, text classification, and deep learning. He is proficient in programming languages such as Python and R and has experience using various ML frameworks and libraries such as TensorFlow, Keras, and Scikit-learn. Naser is a highly motivated individual who is passionate about solving complex problems using machine learning. He is a team player and has excellent communication skills. He is always looking for new challenges and opportunities to learn and grow in his field.