Russel Dsouza is a Research Fellow in Birmingham with eight years of applied ML and NLP experience focused on faithfulness and interpretability of reasoning, data- and compute-efficient training, and sample-efficient continual and token-efficient reasoning. He progressed from computer and medical imaging internships in India to postgraduate research and teaching roles at the University of Birmingham, blending hands-on experimentation with applied teaching. His work sits at the intersection of practical model efficiency and trustworthy reasoning, aiming to make large-model capabilities cheaper and more interpretable. An early frontend background informs his pragmatic approach to tooling and reproducible research, and he often bridges interdisciplinary teams across AI, data and domain specialists.
8 years of coding experience
2 years of employment as a software developer
Master of Science, Artificial Intelligence and Machine Learning, Master of Science, Artificial Intelligence and Machine Learning at University of Birmingham
K-12, K-12 at Little Rock Indian School
Bachelor of Technology, Electronics and Communications Engineering, Bachelor of Technology, Electronics and Communications Engineering at National Institute of Technology Karnataka
Contributions:172 pushes, 10 branches in 4 years 3 months
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