About

Mohammad Hasib is a highly motivated and skilled researcher and technocrat with over 9 years of experience in experimental particle physics and managing parallel and distributed computing. Currently working as a Project Fellow at CERN, he is investigating probabilistic graphical models and graph neural networks for efficient particle track reconstruction using reconstructed collision data of Monte Carlo simulations. He is also optimizing and extending the 'Jet Classification' deep learning framework for jet physics, built using Tensorflow, Python, and custom C++ extensions for multithreaded operations on systems using the CMS Software Environment. Hasib has strong data analysis skills and is aiming to develop his career path in computing by applying his analytical and programming skills in quantitative roles. He is proficient in Python, deep learning, web development, Tensorflow, neural networks, Flask, Docker, Javascript, Django, Puppet, Kubernetes, SQL, AWS, integration, frontend and backend development, Ansible, and Elastic Search. Hasib has previously worked as a Summer Student at CERN, where he worked with the Data quality monitoring group of GEM detector, validating data and providing a homogenous monitoring environment across various applications related to data taking. He also worked as a Research Fellow at Delhi University, where he reduced the number of competencies involved in selecting a fellow and built a prediction model that could automatically evaluate essays written by applicants for fellowship. Hasib holds a Bachelor of Technology (B.Tech.) degree from m.du, where he graduated in 2013. He is a dedicated and hardworking individual who strives to bring maximum productivity and profitability to achieve organizational goals and effective prospects of his skill and knowledge.