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I build real, production-grade AI systems that people actually use not brittle prototypes or simple chat wrappers.
With 2+ years of hands-on experience shipping backend and agentic AI systems, I design architectures that interface with real-world edge devices, handle real-time data, and scale reliably. My work spans multi-agent systems, Retrieval-Augmented Generation (RAG), large language models (LLM), and production ML deployments.
On the research side, I have published several journal papers and conference papers accepted across IEEE and international venues spanning medical image analysis, computational bioinformatics, and explainable AI. My work covers oral cancer diagnosis via hybrid transformers, flood detection using attention networks, Alzheimer's classification from MRI, and molecular pathway identification in cardiovascular and kidney disease. Three additional manuscripts are currently under review in Q1 journals (PeerJ, PLOS ONE, Scientific Reports).
I am not just a researcher who codes, or an engineer who reads papers I sit at the intersection of both, which means the systems I build are grounded in methodology and built to survive production.
Currently a Research Assistant, and an MS student in Data Science. IEEE Member. People's Choice Award - 3MT Competition 2025.
Focused on next-generation agentic workflows that go far beyond conversational AI. Open to full-time roles in AI Engineering, MLOps, or Agentic Systems
Let's talk if you ship serious AI.
| # | Achievement | Year |
|---|---|---|
| 1 |
People's Choice Award 3MT (3-minute thesis) competition organized by Daffodil International University |
2025 |
| 2 |
3rd Poster Presentation Award DIU-DoR Poster Presentation 2025 |
2025 |
| # | Paper | Year |
|---|---|---|
| 1 | Cruze, F. R. D., Wasima, J., Hosen, M. F., Miah, M. B. A., Muhammad, Z., & Masud, M. F. A. (2026). Oral Cancer Diagnosis Using Histopathology Images: An Explainable Hybrid Transformer Framework. Technologies, 14(1), 39. | 2026 |
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| 1 | Khatun, M.M., Cruze, F.R.D., Khatun, M.A., Hosen, M.F., Uddin, M.S. and Morshed, M., 2026. XAI-AttBiLSTM: an explainable two-stage feature selection framework with Attention-based BiLSTM for gynecological cancer risk module identification. Network Modeling Analysis in Health Informatics and Bioinformatics, 15(1), p.112. | 2026 |
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| # | Paper | Year |
|---|---|---|
| 1 | F. R. D. Cruze, A. Khatun, M. F. Hosen, M. S. H. Mollah, M. N. Kader and M. S. Uddin, "Leveraging Machine Learning to Uncover Molecular Pathways and Candidate Drugs in Ovarian Cancer and Polycystic Ovary Syndrome," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11013839. | 2025 |
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| 2 | J. Wasima, M. F. Hosen, F. R. D. Cruze, M. N. Kader, M. S. H. Mollah and M. S. Uddin, "Integrated Bioinformatics and Machine Learning Analysis Uncovers Key Pathways and Therapeutic Targets for Hypertension and Chronic Kidney Disease," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 2192-2196, doi: 10.1109/ICCIT64611.2024.11021863. | 2025 |
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| 3 | F. R. D. Cruze, M. F. Hosen, M. S. Ali, M. S. Hossain Mollah, M. S. Uddin and M. Morshed, "Unveiling Fake News with an Attention-Based CNN Model Using Hybrid Features," 2024 2nd International Conference on Information and Communication Technology (ICICT), Dhaka, Bangladesh, 2024, pp. 41-45, doi: 10.1109/ICICT64387.2024.10839654. | 2024 |
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