Engineer from École Centrale de Lyon and Pontificia Universidad Católica de Chile with experience building production software and data tools supporting trading operations at Capital Fund Management in Paris. I focus primarily on C++ and Python, with particular interests in quantitative finance, machine learning, and data-intensive systems.
Paris, France
An event-driven backtesting engine for systematic trading strategies using daily market data. The architecture separates market, signal, order, and fill events and is designed around deterministic historical-data processing, reproducible portfolio accounting, next-available-open execution, performance metrics, and end-to-end validation.
Classical machine-learning library implemented in C++17 with Eigen, covering linear and logistic models, tree ensembles, k-NN, linear SVM, Naive Bayes, PCA, KMeans, and a minimal neural-network implementation. Includes reusable preprocessing, cross-validation and evaluation utilities, real-dataset workflows, Python verification, and automated Catch2 tests with CTest and GitHub Actions CI.
AI-assisted job-application platform for structured role analysis, source-grounded company research, versioned application documents, and interview tracking. I designed the system architecture, data model, and AI workflow contracts, and supervised the AI-assisted implementation and validation of the platform.
Modern C++23 implementations of fundamental data structures and algorithms, based primarily on CLRS, with automated testing and CI.
RepositoryCapital Fund Management
Habiterra Consultores LTDA.
Developed a three-tier information-management platform using SQL, Node.js/Express, and JavaScript, including data-processing pipelines and monitoring interfaces for business users.
Pontificia Universidad Católica de Chile
Delivered practical sessions for Introduction to Programming and Computational Thinking, designing and evaluating programming exercises and teaching core algorithmic concepts.
Diplôme d’Ingénieur Généraliste — Master of Science in General Engineering
Final-year thesis at Capital Fund Management17/20 · 30 ECTS
Relevant coursework
Mechanical Engineering (Ingeniería Civil Mecánica), with distinction
With distinction
Relevant coursework
Native
C1 · DALF
C1 · IELTS Academic · 7.5
Feel free to reach out about Quant Development, C++ / Python Software Engineering, or opportunities in quantitative finance and financial technology.
