About

Mohammed Abdulla is a highly skilled Senior Applied Scientist with over 5 years of relevant experience in the field of machine learning. Currently working at Amazon, he has a strong background in research and development of machine learning algorithms, particularly in the areas of recommendation systems, deep learning, and reinforcement learning. In his previous role as an Applied Scientist at Amazon, Mohammed was part of the India Machine Learning Team where he worked on building and improving search recall using semantic search. He also has experience working at Myntra, where he was a Data Scientist, and was responsible for building a recommendation system for apparel size prediction in fashion e-commerce. He built a novel system to learn distributed representation for user size preference from past purchase data using deep learning, which was central in predicting sizes for users in Myntra. Mohammed has a Master of Science degree in Computer Science from the Georgia Institute of Technology, and a Bachelor of Engineering degree in Electronics and Communication Engineering from Vishveshwaraiah Technological University. He also holds a 12th grade degree from AISSCE-CBSE, Kendriya Vidyalaya, and a 10th grade degree from AIISE-CBSE, Baden Powell Public School. Mohammed's technical skills include Python, C, SQL, Kafka, AWS, XGBoost, Keras, CNN, RNN, GAN, Word2Vec, Spark, Scikit, MapReduce, Redis, Tensorflow, NoSQL, MongoDB, Cassandra, and Mobile. He is a proficient researcher and has a great understanding of big data technologies like Hadoop. Overall, Mohammed is a highly motivated and talented individual who is passionate about machine learning and its applications. His experience in the field and his technical skills make him a valuable asset to any team.