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dinbav/README.md

💫 About Me:

Hi, I'm Dina Bavli 👋

I'm a Data Science Specialist focused on turning AI research into production-ready systems.

Over the past decade, I've worked across Machine Learning, NLP, Speech Technologies, Generative AI, RAG, and Agentic AI, building solutions that scale from experimentation to real-world deployment.

Today, my work centers on AI agents, multi-agent systems, AI platforms, and developer enablement. I enjoy designing architectures, building AI-powered applications, creating technical workshops, and helping teams adopt emerging technologies successfully.

Areas of interest:
• Agentic AI & Multi-Agent Systems
• LLM Applications, RAG & AI Evaluation
• Machine Learning & NLP
• Production AI & MLOps
• Developer Experience & Technical Enablement

I believe great AI systems are not only accurate and powerful, but also maintainable, understandable, and usable by the people who rely on them.

🌐 Socials:

LinkedIn Medium X

💻 Tech Stack:

Python PowerShell Bash Script Markdown Google Cloud FastAPI Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy GitHub GitLab

✍️ Random Dev Quote

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  1. LeXmo LeXmo Public

    A python package for classifying emotion

    Python 17 10

  2. Predictive-Modeling-TA--Fraud-case-study Predictive-Modeling-TA--Fraud-case-study Public

    Full implementation of data science pipeline on unbalanced data.

    Jupyter Notebook 3

  3. Hogwarts-School-of-RAG Hogwarts-School-of-RAG Public

    Retrieval-augmented generation (RAG) workshop

    Jupyter Notebook 3

  4. A2A_MCP_Workshop A2A_MCP_Workshop Public

    Python 1