Applied Mathematics · AI · Data Science · Engineering

Building intelligent systems with mathematics, code, and data.

I’m Mehdi Khamassi, an applied mathematics graduate and AI-focused developer building rigorous, modern, and data-driven systems at the intersection of machine learning, software engineering, and scientific thinking.

Mathematics-first

Optimization, probability, statistics, and modeling.

AI-oriented

Machine learning, data analysis, and intelligent systems.

Engineering-driven

Python, TypeScript, APIs, and scalable applications.

Available for projects
Portrait of Mehdi Khamassi

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

Ongoing

A mobile-first communication platform built with Flutter and FastAPI, featuring real-time chat, notifications, and a recommendation-oriented system architecture.

FlutterFastAPIMongoDBRecommendation Logic

Customizable E-commerce Platform

Completed

A modular web application designed with React, TypeScript, and MongoDB, with a reusable component system and an administration dashboard for products, users, and orders.

ReactTypeScriptMongoDBUI Architecture

Neurostack

In progress

A personal technical platform designed to express a clear identity in applied mathematics, AI, and software engineering through a modern, structured, and scalable web presence.

Next.jsTypeScriptTailwind CSSBrand System

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.

PythonTypeScriptJavaScriptReactNext.jsTailwind CSSFastAPINode.jsMongoDBRREST APIsMachine LearningData AnalysisScientific Computing

Contact

Interested in building something meaningful with data, AI, or code?

I’m building Neurostack as the foundation of a serious technical identity focused on intelligent systems, applied mathematics, and software engineering.