I am currently working as a Lecturer and Program Coordinator at BRAC University. Before this role, I worked as a Lecturer at Daffodil International University and as a Junior Software Engineer at TechShoi. I hold a B.Sc. in Computer Science and Engineering from BRAC University. My core research areas include Privacy-Preserving Machine Learning, Distributed AI Systems, Federated Learning and Health Informatics, with a specific focus on designing robust, explainable models for real-world applications.

I have always been fascinated by technological innovations and the application of AI to real-world, ethical, and societal challenges, striving to contribute through cutting-edge research. I have published my work in highly respected venues, including the Information Fusion journal and IEEE conferences. My strong foundation in software engineering and backend architecture also supports my academic work, allowing me to build robust, scalable experimental pipelines for complex AI systems. Currently, my active research is dedicated to architecting secure Federated Learning frameworks, integrating zero-knowledge circuits to guarantee cryptographic privacy, conducting systematic cross-dataset evaluations and conducting rigorous empirical benchmarking for decentralized AI models.

I love to keep myself up-to-date with the recent magnificent innovations in the fields of machine learning, explainable AI, and resource-constrained reasoning systems. As I am currently seeking opportunities to join a rigorous PhD program in Computer Science or Electrical and Computer Engineering, I always enjoy connecting with like-minded researchers and academics. Feel free to contact me.

An advanced data fabric architecture leveraging homomorphic encryption and federated learning

Journal Name: Information Fusion 

Publication: Elsevier 
DOI: https://doi.org/10.1016/j.inffus.2023.102004

Interpretable Deep Learning Approaches for Reliable GI Image Classification: A Study with the HyperKvasir Dataset

2024 27th International Conference on Computer and Information Technology (ICCIT)

Publication: IEEE International Conference on Computer and Information Technology
 

Lecturer - BRAC University

Dept. of Computer Science and Engineering (CSE)

Courses Taught: Microprocessor and Algorithm.

May 2024 - Present

Adjunct Lecturer - BRAC University

Dept. of Computer Science and Engineering (CSE)

Courses Taught: Microprocessor and Algorithm.

September 2023 - May 2024

Lecturer - Daffodil International University

Dept. of Information Technology & Management (ITM)

Courses Taught: HCI and User Experience, Website Application Development, Artificial Intelligence and Operating System (OS)

August 2023 - December 2023

Student Tutor - BRAC University

Dept. of Computer Science and Engineering (CSE)

Courses Assisted: Microprocessor, DLD, Data Structure and Programming Language I. 

June 2021 - December 2022

Award - Top 1% Q1 Publication

RMC, Brac University

For: An Advanced Data Fabric Architecture Leveraging Homomorphic and Federated Learning 
April 2025 

Master of Science (M.Sc.) - BRAC University

Concentration: Computer Science and Engineering

May 2024 - Present

Bachelor of Science (B.Sc.) - BRAC University

Concentration: Computer Science and Engineering

January 2019 - January 2023