Agustín Lajarín is a software developer and ML engineer with five years of experience building data-driven systems and open-source tooling from Alicante, Spain. He has applied his quantitative finance background at Banco Santander to design valuation engines and time-series reconstruction models, then transitioned to hands-on ML roles at Argilla and Hugging Face before moving into a software developer role at CHEP. Proficient in Python and machine learning workflows, he focuses on production-ready data solutions and developer-friendly libraries, with an active GitHub presence (plaguss) that reflects his open-source orientation. He combines academic training in data engineering and quantitative finance with practical experience shipping tools like Streamlit-based analytics and QuantLib-style valuation code. Colleagues know him for turning complex financial models into testable, reusable software components and for bringing ML best practices into engineering teams.
5 years of coding experience
1 year of employment as a software developer
Máster en Ciencia de Datos e Ingeniería de Datos en la Nube, Máster en Ciencia de Datos e Ingeniería de Datos en la Nube at Universidad de Castilla-La Mancha
Grado en Administración y Dirección de Empresas, Grado en Administración y Dirección de Empresas at Universitat d'Alacant
Master en Banca y finanzas cuantitativas, Master en Banca y finanzas cuantitativas at Universidad Complutense de Madrid
Master en banca y finanzas cuantitativas, Master en banca y finanzas cuantitativas at University of Valencia
Contributions:133 commits, 2 PRs, 8 pushes in 25 days
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