Quentin Chappat

About Quentin Chappat

Forward Deployed Engineer at Palantir Technologies, bringing expertise in rigorous advanced data analytics for quantitative decision-making and distributed systems to solve enterprise organizations\' mission-critical business challenges.Previously served as Senior AI Engineer at Balbix, where I specialized in cyber risk quantification and mathematical modeling. Led innovative projects that bridged the gap between technical security metrics and business impact, helping organizations make data-driven decisions about their cybersecurity investments.My experience at Balbix involved leveraging advanced computational techniques including Game Theory, Graph Theory, and Machine Learning to transform complex cybersecurity data into actionable financial insights. I architected scalable solutions for cyber risk quantification, developed sophisticated asset valuation engines, and created analytics tools that enabled real-time risk assessment across enterprise networks.With a unique background combining Biomedical Engineering (Columbia University) and Computer Science (Télécom Paris), I bring a multidisciplinary approach to solving complex technical challenges. My expertise spans distributed systems architecture, machine learning pipeline optimization, large-scale data processing, and advanced mathematical modeling using technologies like Apache Spark, Delta Lake, and Apache Airflow.Core Technical Expertise- Distributed Systems Architecture- Machine Learning & Advanced Analytics- Large-Scale Data Processing- Mathematical Modeling & Optimization- Graph Theory & Network AnalysisFeel free to connect with me to discuss technology, data science, or if you\'re interested in my professional background!

Experience

1. Forward Deployed Engineer

   Palantir Technologies

   Apr 2025 — Present

   Collaborating with enterprise organizations to design and implement quantitative decision-making platforms, leveraging rigorous data analytics and fault-tolerant distributed systems to solve mission-critical business challenges at scale.

Education

• EURECOM

  Master of Science - MS, Theoretical Data Science & Computer Science | Dual Program with Télécom Paris

• Columbia University

  Master of Science - MS, Biomedical Engineering

• Télécom Paris

  Bachelor of Science & Master of Science - BS & MS, Engineering & Computer Science

• Lycée Michelet, Vanves

  Preparatory classes • Intensive courses in Mathematics, Physics, Chemistry and Engineering Sciences