Published multiple papers, served as a reviewer and program committee member for international conferences (COLING, LREC, NAACL workshops), supervised graduate theses, received DAAD scholarship and best paper awards.
Research Experience
Postdoctoral Researcher at VTT Technical Research Centre of Finland, focusing on the safe, trustworthy, and effective deployment of LLMs. Previously worked at MBZUAI and the University of Gujrat, specializing in information extraction, machine learning, syntactic parsing, treebank development, and low-resource NLP. International collaborations include the University of Konstanz (DAAD) and partners in Europe, advancing neural parsing and benchmarking methods.
Education
Doctorate in Computer Sciences, Statistical Parser for Urdu, University of Engineering and Technology Lahore, Award Date: 22 Jun 2022
Background
Research interests include the evaluation and fine-tuning of Large Language Models (LLMs) and Generative AI, as well as the development of systems for low-resource languages in areas such as Information Extraction, Sentiment Analysis, Machine Translation, and Code-mixed Text Analysis. Focuses on cross-lingual data augmentation techniques to address challenges related to the scarcity of annotated data.