Artificial Intelligence Researcher
Focusing on Computer Vision & Large Language Models for Biomedical Applications
AI Researcher focusing on the intersection of Biomedical AI and Agentic LLM workflows. I explore the synergy between Reasoning learning and RAG architectures, dedicated to bridging the gap between theoretical research and reliable, production-ready healthcare solutions.
- 🎓 Affiliation: Final-year Data Science Student at HUFLIT.
- 🔬 Core Research: Medical Imaging Segmentation, LLM Reasoning.
- HyMoENet: Mixture-of-Experts Enhanced CNN-Transformer Hybrid Framework for Classifying Anatomical Sites in Endoscopic ENT Images ACM Multimedia (ACM MM) 2025 | Paper
Proposed a novel MoE-based hybrid framework for medical imaging, achieving 97.5% accuracy in ENT anatomical site classification.
| Domain | Proficiency |
|---|---|
| Deep Learning | PyTorch, TensorFlow, OpenCV |
| LLM Ecosystem | LangChain, LlamaIndex, VectorDB (Chroma/FAISS), RAG Optimization |
| Engineering | Python (Advanced), C#, Docker, Git-flow, MLflow, CI/CD |
| Infrastructure | Linux/Ubuntu, AWS (Candidate), NVIDIA CUDA |
"The goal is not just to build models, but to solve real-world complexities."