Souhardo Rahman (Member, IEEE) is currently working as a Software Developer at Ledgercross. He earned the Bachelor of Science degree in computer science and engineering (CSE) with American International University-Bangladesh (AIUB). His research interests include machine learning, deep learning, natural language processing (NLP), computer vision, and bioinformatics, with a strong emphasis on privacy-preserving data analysis. He focuses on developing secure and efficient AI solutions for medical imaging, predictive modeling, and federated learning. His research experience includes contributing to multiple projects, resulting in several papers currently under review in esteemed journals, and presenting at various academic conferences. Motivated by a deep passion for technology, he is dedicated to advancing AI solutions that address real-world challenges while maintaining a commitment to data privacy and ethical AI practices.
Machine learning, deep learning, natural language processing (NLP), computer vision, and bioinformatics, with a strong emphasis on privacy-preserving data analysis — developing secure and efficient AI solutions for medical imaging, predictive modeling, and federated learning.
Owns the lab's compute and tooling backbone — building secure and efficient AI solutions that keep experiments reproducible and reliable.
Shapes operational roadmaps and resourcing so research efforts align with the lab's long-term direction.
Designs end-to-end pipelines for medical imaging, predictive modeling, and federated learning workflows.
Software Developer at Ledgercross, integrating production engineering standards into the lab's day-to-day operations.
Coordinates multi-project collaborations — several papers under review in esteemed journals — with a steadfast commitment to data privacy and ethical AI practices.