Modern AI systems with élégance, clarté, et performance.
Je crée des expériences digitales modernes, vivantes et haut de gamme pour des projets IA, tech et data.
Mathematics-first
Optimisation, probabilités, statistiques et modélisation.
AI-oriented
Machine learning, systèmes intelligents et prototypes performants.
Engineering-driven
Python, TypeScript, APIs et applications scalables.
Math
Modeling
Code
Systems
AI
Intelligence
About
A profile built on analytical depth and technical execution.
Neurostack is my personal platform to showcase a long-term vision centered on applied mathematics, artificial intelligence, and software engineering.
My background in applied mathematics gives me a strong foundation in optimization, probability, statistics, numerical analysis, and mathematical modeling. I use this analytical rigor to approach real-world technical problems with structure and precision.
Alongside mathematics, I build software products and data-driven systems with a practical engineering mindset. I enjoy designing scalable applications, developing APIs, working with modern frontend technologies, and turning ideas into robust implementations.
My goal is to grow Neurostack into the first layer of a serious professional identity in AI and data science — one that reflects both scientific thinking and the ability to build useful, intelligent systems.
Expertise
Three complementary domains, one coherent technical profile.
My work sits at the convergence of mathematical rigor, intelligent systems, and modern software engineering.
Applied Mathematics
- Optimization and numerical methods
- Probability and statistical reasoning
- Linear algebra and calculus
- Mathematical modeling
- Scientific problem solving
AI & Data Science
- Machine learning fundamentals
- Regression and classification
- Data processing and analysis
- Predictive modeling
- Data-driven decision systems
Software Engineering
- Python and TypeScript development
- Next.js and React interfaces
- FastAPI backend architecture
- REST API design
- Scalable application development
Projects
Selected work at the intersection of product, systems, and intelligence.
A first set of projects that reflects both engineering practice and a long-term direction toward AI and data science.
Cross-Platform Meeting App
OngoingA mobile-first communication platform built with Flutter and FastAPI, featuring real-time chat, notifications, and a recommendation-oriented system architecture.
Neurostack
In progressA personal technical platform designed to express a clear identity in applied mathematics, AI, and software engineering through a modern, structured, and scalable web presence.
Neurostack Analytics
In progressA statistical and machine learning analytics library exposed through a FastAPI server and visualized in a modern web interface, featuring regression models, diagnostics, predictions, and mathematical summaries.
Neurostack Quanto
In progressA quantitative finance and portfolio analytics platform powered by a Python FastAPI backend, featuring Yahoo Finance data loading, portfolio analytics, Markowitz optimization, dynamic backtesting, and interactive strategy comparison.
Case Studies
Detailed analyses combining data, mathematics, and interpretation.
A selection of structured studies covering statistical analysis, machine learning, modeling, and reproducible reporting.
Heart Disease Classification
Machine LearningAn end-to-end machine learning study covering exploratory analysis, preprocessing, logistic regression, regularization, cross-validation, and model evaluation.
Stack
A modern toolkit for data, software, and intelligent systems.
I combine scientific and engineering tools to build interfaces, APIs, data pipelines, and AI-oriented applications.
Contact
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