Aivin Solatorio is an experienced program manager and data scientist with 11 years applying ML, statistical methods, and data engineering to development-focused use cases across the World Bank and private sector. He builds production-ready analytics and AI tools—leading projects like NLP4Dev, llm4data, and REaLTabFormer for synthetic tabular data—while also designing large-scale experiments such as an agent-based COVID model for 15M agents. Aivin contributes to prominent open-source AI projects (LangChain, Milvus, Kedro, Hugging Face Transformers) and combines a physicist’s quantitative rigor with practical engineering: Spark setups, web scraping pipelines, and dashboards for policy stakeholders. He specializes in information retrieval, recommendation systems, graph analytics, and low-resource AI to make data more discoverable and responsibly usable in development contexts. Based in Washington, DC, he pairs technical leadership with grant-winning program design to translate research into deployable tools for inclusive data use.
11 years of coding experience
17 years of employment as a software developer
Master of Science (MS) Physics, Master of Science (MS) Physics at University of the Philippines
LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.
Contributions:8 releases, 53 PRs, 28 pushes in 1 year 6 months
Contributions:18 commits, 2 pushes in 1 year 3 months
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