Predicta - ML Pipeline Platform
Built end-to-end ML workflow automation for EDA, feature engineering, and model selection.
I'm a Data Science student with a strong interest in AI research—especially Natural Language Processing and Reinforcement Learning. I focus on understanding machine learning from both theoretical and practical angles, currently diving deep into Transformer architectures by implementing them from scratch.
As Head of R&D at UIU Data Science Club, I lead workshops and projects to help others learn alongside me. I also build educational tools like FizTorch (a deep learning framework) and Predicta (an AutoML pipeline) to make complex AI concepts more accessible.
I believe in learning AI through research papers, code, and collaboration—and I'm always looking to connect with mentors and contribute to open-source projects.
Machine Learning and AI projects by Ahammad Nafiz, showcasing expertise in deep learning, natural language processing, and automated systems.
Built end-to-end ML workflow automation for EDA, feature engineering, and model selection.
Designed chat-based CSV explorer using LangChain + Agent + RAG.
Trained YOLOv12m on a 3988-image dataset for Bangladeshi food detection.
Built web-integrated multi-agent RAG system with semantic search and routing.
Developed an automated system generating curriculum-aligned animated educational content.
I'm always interested in new opportunities in data science, AI development, and collaborative projects.
Let's build intelligent solutions together.