Bimal Shahi
About Bimal Shahi
Bimal Shahi is a Module Lead at Applied Information Sciences, with a background in software engineering and machine learning. He has held various positions in notable companies across India and the United States, and he holds a Master's degree in Computer Applications.
Current Role at AIS
Bimal Shahi serves as a Module Lead at Applied Information Sciences (AIS) since 2019. In this role, he oversees project modules and ensures the successful implementation of software solutions. His experience in leading teams and managing projects contributes to the operational efficiency of AIS in Reston, Virginia.
Previous Experience in Machine Learning
Before joining AIS, Bimal worked at Esn Technologies as a Senior Machine Learning Engineer from 2018 to 2019. During this year in Hyderabad, Telangana, India, he focused on developing machine learning models and algorithms, enhancing the company's capabilities in data-driven solutions.
Software Engineering Background
Bimal has a diverse background in software engineering. He worked at Larsen & Toubro as a Software Engineer from 2011 to 2014 in Bombay, Maharashtra, India, and at Wipro Technologies as a Senior Software Engineer from 2015 to 2018 in Bangalore, Karnataka, India. His roles involved software development and system integration.
Educational Qualifications
Bimal holds a Master's degree in Computer Applications from Sikkim Manipal Institute of Technology, where he studied from 2007 to 2010. He also earned a Bachelor's degree in Computer Programming from Guru Ghasidas University, studying from 1998 to 2002. His foundational education includes studies in Mathematics and Chemistry at St. Xavier's College from 1996 to 1998.
Early Career and Development
Bimal began his professional journey as a Software Developer at Acliv Technologies Pvt Ltd for four months in 2010. He then transitioned to Issquared, Inc as a Senior Software Engineer from 2014 to 2015 in Westlake Village, California. His early experiences laid the groundwork for his subsequent roles in software engineering and machine learning.