Hi! I am Fatema Tuj Johora Faria, currently working as a AI Engineer II at Astha.IT. My expertise lies in designing, developing, and deploying generative AI-based applications with a strong focus on Large Language Models, Large Multimodal Models, Retrieval-Augmented Generation (RAG), as well as LLM Agents and Multimodal AI Agents, along with their multi-agent architectures for automating complex tasks and supporting data-driven insights. I also place equal emphasis on creating user-friendly interfaces that simplify AI interactions and provide an intuitive experience for users.

In my previous capacity as Senior Application Developer at Dexian (Bangladesh) Limited, I focused on delivering high-impact work through the following key areas:

(1) Proof of Concepts (PoCs): I oversaw the development of PoCs to explore forward-thinking ideas by analyzing client and stakeholder requirements and translating them into business goals. I rapidly prototyped solutions and iterated based on feedback to assess feasibility, reduce risks, and enable informed decision-making for full-scale implementation, while ensuring alignment with the long-term product vision.
(2) Leadership in Project Execution: I led the architecture of generative AI systems for production-grade deployment, utilizing Azure OpenAI for LLM integration, Azure SQL for robust data management, Azure Blob Storage for scalable asset handling, and AlloyDB for high-performance vector search. I designed modular, domain-specific AI pipelines optimized for low-latency inference and deployed them efficiently via Azure Web App, focusing on reducing operational overhead and ensuring cost-effective, real-world performance.
(3) Mentorship: I mentored Junior Application Developers by guiding them on coding standards, architectural best practices, and professional growth, helping them contribute effectively to our projects.

My Primary Research Interests Include:

  • Large Language Models
  • Large Multimodal Models
  • LLM Agents
  • Multimodal AI Agents
  • Human-Computer Interaction
  • NLP for Social Good
  • NLP for Low-Resource Languages
  • AI in Healthcare
  • Vision-Language Models
  • Trustworthy AI
  • Computer Vision

I am open to collaborative opportunities that align with my research goals and passions. If you have any inquiries or wish to discuss potential collaborations, please feel free to reach out. You can contact me via email at Personal: fatema.faria142@gmail.com or Official: ftj.faria@asthait.com.

⚡ Recent Highlights

November 2025
Awarded a 50% registration fee scholarship for research excellence and paper presentation of "PotatoGANs" at the 11th IEEE International Conference on Sustainable Technology and Engineering (i-COSTE 2025).
November 2025
Joined as AI Engineer II at Astha.IT!
November 2025
Reached 100+ citations on my Google Scholar profile!
October 2025
One of my research works titled "PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification" has been accepted for presentation and publication at the 11th IEEE International Conference on Sustainable Technology and Engineering (IEEE i-COSTE 2025).
October 2025
One of my studies titled "Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study" has been published in the 4th International Conference on Computing and Communication Networks (ICCCNet-2024).
October 2025
The research paper titled "Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification" has been published in the 4th International Conference on Computing and Communication Networks (ICCCNet-2024).
September 2025
One of my research papers, "Towards Robust Chain-of-Thought Prompting with Self-Consistency for Remote Sensing VQA: An Empirical Study Across Large Multimodal Models", has been published in Mathematics (MDPI), Vol. 13, Issue 18, Article 3046.
September 2025
Our paper, "BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language", has been published in the International Journal of Disaster Risk Reduction, Vol 130, 2025, Article 105800, ISSN 2212-4209.
July 2025
Promoted to Senior Application Developer at Dexian (Bangladesh) Limited.
July 2025
Our research work titled "Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering" has been published in Mathematics (MDPI), Vol. 13, Issue 14, Article 2322.
June 2025
One of our research works, "MultiBanFakeDetect: Integrating Advanced Fusion Techniques for Multimodal Detection of Bangla Fake News in Under-Resourced Contexts", has been published in the International Journal of Information Management Data Insights, Vol. 5, Issue 2.
June 2025
Our conference paper, "Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language", has been published in the ICITA 2024 Proceedings.
February 2025
One of our studies, "SentimentFormer: A Transformer-Based Multimodal Fusion Framework for Enhanced Sentiment Analysis of Memes in Under-Resourced Bangla Language", has been published in Electronics (MDPI), Vol. 14(4), 799.
November 2024
One of our papers, "Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis", has been published in Mathematics (MDPI), Vol 12, Issue 23.
October 2024
Attended ICITA 2024, Sydney, Australia.
October 2024
Attended ICCCNet 2024, Manchester, UK.
September 2024
Attended IEEE TENSYMP 2024, New Delhi.
August 2024
Our research article, "Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language", has been accepted for presentation at the 18th International Conference on Information Technology and Applications (ICITA 2024).
June 2024
One of our research works, "Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis", has been accepted at the The IEEE Region 10 Symposium (TENSYMP 2024).
June 2024
Started working as a Remote Research Assistant under the funded projects by the National Research Foundation of Korea and the National Institute of Health, South Korea.
May 2024
The study titled "Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study" has been accepted at the 4th International Conference on Computing and Communication Networks (ICCCNet-2024).
May 2024
The research paper titled "Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification" has been accepted at the 4th International Conference on Computing and Communication Networks (ICCCNet-2024).
May 2024
Joined as Application Developer at Dexian (Bangladesh) Limited.
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