Quazi Ghulam Rafi
About Quazi Ghulam Rafi
Quazi Ghulam Rafi is a Backend Engineer currently completing an apprenticeship at Solita while pursuing a Master of Science at LUT University. He has a background in software development and engineering, with previous roles at Summit Communications Ltd and Battery Low Interactive Ltd.
Work at Solita
Quazi Ghulam Rafi currently holds the position of Backend Engineer (Apprenticeship) at Solita, where he has been employed since 2024. His role involves working remotely from Tampere, Finland. During his time at Solita, he has contributed to the development of a centralized traceable ledger aimed at tracing material flow and auditing carbon emissions, a project undertaken in collaboration with LUT University. He has utilized the Django Rest Framework to create REST APIs for data exchanges and validations, ensuring efficient communication within the agile development environment.
Education and Expertise
Quazi Ghulam Rafi is pursuing a Master of Science degree at LUT University, expected to be completed in 2024. He previously earned a Master of Computer Science from Università degli Studi dell'Aquila in 2023. His undergraduate studies were completed at American International University-Bangladesh, where he obtained a Bachelor of Science in Computer Science and Engineering from 2017 to 2021. His educational background is complemented by a Higher Secondary Certificate from Notre Dame College, achieved between 2014 and 2016.
Background
Before joining Solita, Quazi Ghulam Rafi gained experience as a System Engineer (Software) at Summit Communications Ltd in Dhaka, Bangladesh, from 2021 to 2023. He also worked as a Full Stack Web Developer at Battery Low Interactive Ltd. for eight months in 2020 and served as an Independent Software Development Contractor at SimpTek for three months in Fredericton, New Brunswick, Canada. His diverse work experience spans multiple roles and responsibilities in software development and engineering.
Achievements
Quazi Ghulam Rafi has made significant contributions in the field of software development. He successfully dockerized an application as part of a sustainable software solutions project. Additionally, he developed the backend for a centralized traceable ledger, which plays a crucial role in tracking material flow and carbon emissions. He has also published a journal article focusing on the application of deep learning for classification tasks, showcasing his commitment to advancing knowledge in technology.