Computer Scientist | Researcher | Engineer | STEM Educator
I am a computer scientist and researcher passionate about advancing artificial intelligence and computational methods to address complex scientific and real-world challenges. My work and interests span machine learning, deep learning, medical imaging, computer vision, natural language processing, and computational neuroscience.
I am particularly interested in developing efficient, reliable, and interpretable AI systems for healthcare, including medical image analysis and clinical decision support. Beyond AI, I explore the intersection of computation with neuroscience, biology, physics, and quantum computing.
- Artificial Intelligence: Machine Learning, Deep Learning, Computer Vision, NLP, LLMs, RAG, and Agentic AI
- Healthcare AI: Medical Imaging, AI-Assisted Diagnosis, Explainable AI, and Clinical Decision Support
- Computational Sciences: Computational Neuroscience, Computational Biology, Bioinformatics, and Scientific Computing
- Quantum Technologies: Quantum Computing, Quantum Machine Learning, and Quantum Algorithms
- Software Engineering: AI Engineering, Backend Development, API Design, Data Pipelines, and MLOps
- Building practical, end-to-end AI applications and research-driven solutions.
- Exploring lightweight and computationally efficient deep learning architectures.
- Investigating data-driven approaches to scientific discovery and healthcare innovation.
- Bridging theoretical foundations with reproducible experiments and real-world implementation.
- Contributing to collaborative research, open-source projects, and knowledge sharing.
I welcome opportunities to collaborate on AI/ML research, healthcare technology, computational science, and interdisciplinary projects. I also enjoy mentoring, teaching STEM subjects, exchanging ideas, and exploring innovative solutions to challenging problems.
📫 Email: tanjinadnanabir@gmail.com
🌐 Languages: English and Bangla
My guiding principle: Connecting computation, intelligence, and science to build solutions that matter.
