Amar Shaw is a computer science graduate from FIEM and MAKAUT with a CGPA of 8.42. He has skills in languages like C++ and Python along with databases like Oracle. His areas of interest include data structures, machine learning and competitive programming. He has worked on projects involving Twitter sentiment analysis using Naive Bayes classification and product recommendations using machine learning algorithms. He has participated in programming competitions and received achievements like qualifying rounds of Google Code Jam and CodeChef.