Aagaman Bhattarai

I am an AI engineer with hands-on experience building and deploying practical ML systems, from a text-to-SQL model for automated reporting to agentic RAG pipelines enabling natural-language BI queries. I have delivered real-time computer vision on edge devices and contributed to agentic recommendation engines while maintaining robust data governance and dictionaries.

I work across LLMs, NLP, transformers, and CV using PyTorch, TensorFlow, Scikit-learn and HuggingFace, and I value agile development, CI/CD practices, and measurable product impact. I’m motivated to apply AI to meaningful problems, learn continuously, and collaborate to build solutions that improve everyday life.