About

Mohammed Habibullah Baig is a Senior Software Engineer at Google with 7.61 years of relevant experience. He is currently pursuing a Masters in Computer Science at Texas A&M University, College Station, where he has gained a strong understanding of C++ and Python programming languages, as well as Data Structures, Algorithms, and Operating System concepts. Mohammed is an enthusiastic problem solver with a passion for research and innovation, constantly striving to enhance his skills and apply AI/Machine learning techniques to solve real-world problems. Mohammed's current research work focuses on enhancing music exploration and visual interaction using deep learning techniques, which has led to the development of the world's first map of full-length songs. His paper on this topic has been accepted for technical demo at ACM Multimedia, 2018, South Korea. Mohammed has won two hackathons in the last two semesters, demonstrating his ability to learn new things and apply them creatively. Mohammed's core competencies include Algorithms, Backend Systems, Design patterns, Distributed System design, and Machine Learning. He is proficient in C++, C, Python, Java, SQL, Shell scripting, and has intermediate knowledge of JavaScript, Perl, and HTML. He is also skilled in Cloud & Databases, including Docker, Kubernetes, OpenStack, MongoDB, Oracle, and MySQL. Mohammed has experience working with Git, Perforce, GTest, Gmock, Valgrind, GDB, Vim, Visual Studio, Unix/Linux, and Windows. Prior to joining Google, Mohammed worked as a Software Engineering intern at MathWorks, where he prototyped novel features to enhance MATLAB's Licensing and Installation module for upcoming releases. He also implemented a Webservice transaction handler for the Dynamic Licensing model of MATLAB Distributed Computing Server. Mohammed won the first prize in the MathWorks Intern Hackathon in 2018. Mohammed holds a Bachelor of Engineering degree in Electronics and Telecom from Pune Institute of Computer Technology, and is expected to complete his Master of Science in Computer Science from Texas A&M University in 2019. He is a skilled Software Engineer, ML, Research Scientist, and has expertise in SQL, Backend, Python, AI, Deep Learning, Kubernetes, Docker, Javascript, MySQL, MongoDB, Search, and Java.