LLM Evaluation & NLP
Designing stronger evaluation systems for factuality, safety, reasoning quality, and real world usefulness beyond a single benchmark score.
RESEARCH / PUBLICATIONS
Co-authored reviews on machine learning in oncology and on sentiment analysis for customer retention. Author order is as published, and each title links to the article through its DOI.
Advances in Research, Vol. 27, Issue 6 · Published 15 October 2026
Archives of Current Research International, Vol. 26, Issue 9 · Published 8 September 2026
ORCID
The full ORCID record, with these works alongside education, employment and distinctions.
CURRENTLY EXPLORING
Designing stronger evaluation systems for factuality, safety, reasoning quality, and real world usefulness beyond a single benchmark score.
Exploring anomaly detection, behavioral signals, and interpretable machine learning for identifying suspicious financial activity responsibly.
Investigating secure, human centered platforms that help authorized healthcare teams find and navigate relevant patient record information more efficiently.
RESEARCH AREAS