Dhaka, Bangladesh
I am an independent AI and NLP researcher based in Dhaka, Bangladesh. My work focuses on low-resource Bangla NLP, multilingual language models, synthetic data generation, LLM evaluation, and computational social science.
With a background in Economics, I combine machine learning, econometrics, and software systems to build practical research pipelines and applied AI products for Global South contexts.
Current themes connecting Bangla NLP, model evaluation, and computational social science.
Building reusable LLM-based pipelines for dataset construction, quality analysis, and low-resource experimentation.
Benchmarking multilingual and compact language models for Bangla hate-speech and emotion-detection tasks.
Studying socioeconomic narratives and media-based sentiment through NLP, econometrics, and computational social science.
Conference work and current working papers.
Ann Naser Nabil
7th SANEM Annual Economists Conference (SAEC 2024)2024Ann Naser Nabil
Working Paper2026Applied AI systems and open-source tools.
A multi-tenant agentic social media automation platform integrating LLM agents, workflows, and external APIs.
2026
A Python library for automated model benchmarking across classification, regression, and clustering tasks.
2025
A lightweight Python visualization library for rapid exploratory analysis and presentation-ready plots.
2025
A lightweight, modular Python toolbox for data cleaning, encoding, scaling, and transformation.
2025