Rafid Ahmed
R&D Engineer · Deep Learning & ML Researcher
I am an R&D Engineer at Penta Global Limited with a deep focus on natural language processing, multimodal AI, and large language / vision-language models. My work spans low-resource learning, the application of LLMs in the medical domain, parameter-efficient fine-tuning (LoRA and beyond), and Reinforcement Learning — with a particular emphasis on improving the reasoning capabilities and explainability of both VLMs and LLMs.
I am especially excited about how these techniques can make AI systems more inclusive, interpretable and impactful in real-world settings, including healthcare.
If you are interested in working together or discussing potential collaborations, feel free to reach out — I am always happy to connect.
News
Exciting news! 🎉 Our work on “Evaluating Large Vision Language Models on Bangla Medical Visual Question Answering” has been accepted at the 2026 Meeting of the Association for Computational Linguistics (ACL), San Diego, California.
Our work on “Benchmarking Large Language Models on Bangla Dialect Translation and Dialectal Sentiment Analysis” got the Best Paper Award in BLP workshop at AACL-IJCNLP 2025.
Our work on “How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking” Got accepted in AAAI 2026 AIMedHealth.
Our work on “Benchmarking Large Language Models on Bangla Dialect Translation and Dialectal Sentiment Analysis” got accepted in BLP workshop at AACL-IJCNLP 2025.
Our work on “PentaML at BLP-2025 Task 1: Linear Probing of Pre-trained Transformer-based Models for Bangla Hate Speech Detection” got accepted in BLP workshop at AACL-IJCNLP 2025.