Nazia Shehnaz Joynab

Hey there! I'm Nazia. Pleased to meet you!

With nearly two years of professional experience as a Software Engineer at Samsung R&D Institute Bangladesh, I have mostly worked on large-scale distributed systems. I obtained my BSc.(Engg.) degree in May 2023 from the department of Computer Science and Engineering (CSE) at Military Institute of Science and Technology (MIST).

My research interest lies in the intersection of AI and Software Engineering with a particular emphasis on information retrieval and reinforcement learning.

Besides this, I have explored the efficacy of Federated Learning in healthcare sector as well. my undergraduate thesis focuses on highlighting potential challenges of classifying heterogenous cancerous cells using federated learning, by experimenting in both IID and non-IID settings, under the supervision of Dr. Muhammad Nazrul Islam (MIST). The findings of this research were subsequently published in Informatics in Medicine Unlocked (link).

At Samsung, I was involved in the development and maintenance of an internal Content Delivery Network (CDN), named Artifact Deployment System (ADS). It is a distributed caching system designed to facilitate the rapid and efficient transmission of large binary artifacts across different global research centers of Samsung. The architectural framework of our system integrates proprietary network accelerators, smart caching mechanisms, proxy configurations, and a public cloud infrastructure to optimize artifact delivery for Samsung's employees and strategic partners.

In my free time, I enjoy travelling and listening to music.

If you require any further information, or want to collaborate on a project, send me an email here.