Mostafijur Rahman
About Mostafijur Rahman
Mostafijur Rahman is a Lead Software Engineer at Thomson Reuters, where he has worked since 2021. He has a diverse background in software engineering, with previous roles at SurroundApps, NTT DATA Americas, and St. Francis Xavier University.
Work at Thomson Reuters
Mostafijur Rahman has been employed at Thomson Reuters since 2021, currently holding the position of Lead Software Engineer. In this role, he manages the migration of over 350,000 existing customers to the Thomson Reuters Account platform. He has also led the successful release of a new sales feature aimed at new customers. Prior to his current role, he worked as a Senior Software Engineer at Thomson Reuters from 2018 to 2021, contributing to various projects and initiatives.
Previous Experience at SurroundApps
Mostafijur Rahman worked at SurroundApps in multiple capacities. He served as a Senior Software Engineer from 2010 to 2012 for two years in Dhaka, Bangladesh. Following this, he took on the role of Lead Software Engineer from 2012 to 2013 for 11 months. Earlier in his career, he worked as a Software Engineer at SurroundApps from 2007 to 2009 for two years.
Experience at NTT DATA Americas
Mostafijur Rahman was employed at NTT DATA Americas as a Senior .Net Developer from 2015 to 2018 for three years in Halifax, Canada Area. In this role, he contributed to software development projects, leveraging his expertise in .NET technologies.
Education and Expertise
Mostafijur Rahman holds a Bachelor of Science degree in Computer Science from Shahjalal University of Science and Technology, where he studied from 2001 to 2006. He later pursued a Master of Science in Computer Science at St. Francis Xavier University from 2013 to 2015. His education has provided him with a strong foundation in software engineering principles and practices.
Technical Skills and Contributions
Mostafijur Rahman possesses a high-level understanding of Generative AI foundation models and has experience working with OpenAI APIs and Lang Chain to build interactive chatbots. He has hands-on experience developing lambdas using Python and Boto3 for automating training processes related to Amazon Personalize-driven recommendation models. Additionally, he has worked with AWS Bedrock APIs and AI/ML services, implementing document recommendation systems.