I build AI systems and write the docs that make them usable.

What I do

I design machine learning models and write technical content that engineers trust and non-specialists can follow. My work sits at the intersection of AI engineering and documentation systems.

Day-to-day, that means:

• Training and fine-tuning models (PyTorch, TensorFlow, Hugging Face, LangChain)
• Building end-to-end ML pipelines with deployment and monitoring (MLflow, Docker, FastAPI)
• Writing documentation systems: user manuals, troubleshooting runbooks, release notes, and multi-audience rewrites
• Publishing explainers on autoencoders, gradient descent, and generative AI on Medium

Recent work:

• Co-authored a peer-reviewed paper on generative AI pipelines (AIP Conference Proceedings, 2025)
• Built Miraya Intelligenza, a documentation and brand OS for AI/EdTech content systems
• Completed Harvard CS50 (certificate program)

Tech I daily work with

Docker	FastAPI	Git	Gradio	Scikit-Learn

Typesense	Hugging Face	Matplotlib	MongoDB	MLflow	Haystack

Opensearch	Seaborn	PyTorch	Pandas	PyCaret	Neo4j

TensorFlow	Keras	Microsoft-azure	Mysql

Python	NumPy	MS-power-bI	Streamlit

LangChain

Let's connect

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