Arthur Bernard is a data engineer with eight years of experience blending econometrics, statistics, and applied math to build production-ready AI systems for time series and language data. Currently at SmartPush, he designs and integrates LLM-powered agents that automate data-driven workflows at scale, drawing on prior roles as a quant researcher and freelance data scientist. His open-source work, including the Fynance Python package for financial analysis and time-series modeling, reflects a strong focus on finance and algorithmic approaches. Comfortable in Python and C++, he brings both research-grade modeling skills and pragmatic engineering to deployable systems. Based in Marseille, he combines academic training from Aix‑Marseille with hands-on experience in crypto and finance domains, making him adept at bridging quantitative research and scalable engineering. An unspoken strength is his knack for turning complex econometric insights into reusable tooling that accelerates production ML workflows.
8 years of coding experience
5 years of employment as a software developer
Aix-Marseille School of Economics, Master 2, Finance, General, Aix-Marseille School of Economics, Master 2, Finance, General at Aix-Marseille Université
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