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Quentin-Piot/README.md

Quentin Piot

Software engineer focused on backend, cloud, and developer tools.
I build products that are fast, practical, and enjoyable to use.

Selected projects

Rust · GPU · MIDI · Music Learning

A GPU-accelerated piano learning and MIDI visualization app built on top of Neothesia.
Adds per-track controls and a transport bar. Sheet music display, auto-transcription, and structured practice tools are the next goals.

Python · Backtesting · Quant Research

A correctness-first backtesting engine for prediction markets such as Polymarket and Kalshi.
Designed around explicit execution assumptions, reproducible runs, and strategy experimentation across momentum, mean-reversion, and event-threshold setups.

Python · TypeScript · AWS

A full-stack trading simulation platform with a Monte Carlo engine, RAG assistant, Cognito authentication, ECS Fargate deployment, and CloudWatch observability.

Rust · Axum · Diesel · API Design

A production-oriented REST API built with Axum and Diesel, structured with a clean hexagonal architecture.

React Native · Mobile

A mobile-first budgeting and transaction tracking app focused on clarity, speed, and everyday usability.

Stack

Backend · Cloud · Developer tools · AI integrations

Links

Website · LinkedIn

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  1. axum-diesel-real-world axum-diesel-real-world Public

    The goal of this repository is to have a real world template of a Rust backend using Axum, Diesel, etc.

    Rust 94 15

  2. piano-pro piano-pro Public

    Professional piano learning and MIDI visualization tool

    Rust 2

  3. high-performance-trading-platform high-performance-trading-platform Public

    Backtesting and Monte Carlo simulation platform with a RAG built with a Vue frontend, a FastAPI backend, and AWS/Terraform infrastructure.

    Python 3 1

  4. prediction-market-backtester prediction-market-backtester Public

    Quant-style backtesting engine for prediction markets (Polymarket + Kalshi), focused on correctness, reproducibility, and performance.

    Python 6 2