About me
Hi, This is Antik. A recent graduate from the Department of CSE, BUET. I am currently working as a Software Development Engineer in IQVIA under the Orchestrated Analytics project. My areas of interest encompass Deep Learning and its various sub-domains, with a particular focus on Natural Language Processing (NLP). I am especially passionate about exploring the concepts of Fairness and Bias in Language models as well as the applications of NLP in the field of Human Computer Interaction (HCI). I aim to contribute towards developing AI systems that mitigate bias and ensure fairness, creating models that are both safe and ethically responsible for real-world use. My current career goal is to pursue a graduate program in my field of interest.
My undergraduate thesis was under Dr Rifat Shahriyar. In the thesis, our goal was to detect gender bias in Bangla Language Models. Based on our thesis work, we have published a paper titled An Empirical Study on the Characteristics of Bias upon Context Length Variation for Bangla which was accepted for poster presentation in the Findings of ACL 2024.
I am currently part of the KPI Library Engineering FrontEnd Team, where we work with Clinical Data to build and maintain an Orchestrated Analytics product suite. My daily responsibilities include developing new features, maintaining the existing codebase, and working on Proof of Concept (POC) projects.