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)
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| Docker | FastAPI | Git | Gradio | Scikit-Learn |
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| Typesense | Hugging Face | Matplotlib | MongoDB | MLflow | Haystack |
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| Opensearch | Seaborn | PyTorch | Pandas | PyCaret | Neo4j |
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| TensorFlow | Keras | Microsoft-azure | Mysql |
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| Python | NumPy | MS-power-bI | Streamlit |
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| LangChain |
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