About

Arbaaz Qureshi is a highly motivated and skilled graduate student currently pursuing a Master's degree in Computer Science at the University of Massachusetts Amherst. With a keen interest in the theory and application of Deep Learning, and Natural Language and Source Code Processing, he is passionate about exploring the potential of AI to solve complex problems. Arbaaz has gained valuable experience working as a Research Fellow of team Sankie at Microsoft Research, where he created and analyzed AI-assisted DevOps tools. He has also worked as a Research Intern at the Université de Caen Normandie, where he honed his skills in data analysis and research. Currently, Arbaaz is working as a Graduate Data Science Intern at Lowe's Companies, Inc. He is leveraging his expertise in Data Science, AI, and Deep Learning to develop innovative solutions to complex business problems. Arbaaz is a highly skilled professional with a strong technical background. He is proficient in a range of technologies, including Data Science, Research Science, AI, Deep Learning, and DevOps. He is also an excellent communicator, with the ability to work collaboratively with teams and stakeholders. With 1.52 years of relevant experience and a Bachelor's degree in Computer Science and Engineering from IIT, Arbaaz is well-equipped to take on new challenges and drive innovation in the field of Computer Science. He is committed to continuous learning and professional development, and is always looking for new opportunities to expand his skills and knowledge.