• Backend: Rust (Axum) • FastAPI / Python • Node.js / TypeScript • Event-driven (SQS) • PostgreSQL/DynamoDB • Redis • CQRS/DDD
• Cloud/DevOps: AWS (ECS Fargate, ALB, CloudFront, Cognito, S3, RDS, DynamoDB, SQS, CloudWatch) • Terraform • GitHub Actions • Docker • basic K8s
• Frontend: Vue 3 + Pinia • React/Next.js • OAuth2/JWT/Cognito
• Practices: CI/CD, trunk-based, automated testing, IaC, metrics & tracing, security by default, idiomatic Rust patterns
• Availability: January 2026 • Paris (remote/hybrid OK)
• Certifications: Preparing AWS Solutions Architect Associate & Terraform Associate (in progress)

• Production-ready backends with clean boundaries (Hexagonal/DDD), idempotent handlers, retry/backoff, and dead-letter strategies.
• Observability first: structured logs, metrics (p95 latency, error budgets), health checks, and actionable dashboards.
• CI/CD that protects quality: build → test → scan → deploy gates, infra drift detection, preview environments.
• Security basics baked-in: least privilege IAM, HTTPS everywhere at the edge, JWT/Cognito auth, secret rotation via GitHub OIDC + AWS.

Goal: demonstrate end-to-end capability to build a low-friction, cloud-native, full-stack trading simulation platform suitable for a quant environment.

Repo: https://github.com/Quentin-Piot/high-performance-trading-platform

Highlights

• Backend: FastAPI service with a Monte-Carlo simulation worker, vectorized with NumPy/Pandas; P&L, drawdown, Sharpe.
• Architecture: AWS ECS Fargate (API + worker), ALB, S3 + CloudFront (SPA), RDS PostgreSQL, optional DynamoDB for event logs.
• Auth: AWS Cognito with Google Sign-In; SPA talks to API via JWT (RS256), roles mapped via Cognito groups.
• Frontend: Vue 3 + Pinia; WebSocket progress feed (live job progress and ETA).
• CI/CD: GitHub Actions (build, type-check, tests, IaC plan/apply, invalidations); Terraform for all infra (OAI, OAC, cache policies).
• Observability: CloudWatch metrics/alarms; structured JSON logs; health and readiness endpoints.
• Cost control: small ECS services, S3/CloudFront caching strategy, lifecycle rules, reasonable defaults (no idle GPU waste).

Goal: Build a type-safe, high-performance REST API with Rust best practices, demonstrating expertise in systems programming and modern backend architecture.

Repo: https://github.com/Quentin-Piot/axum-diesel-real-world

Highlights

• Stack: Axum (async web framework) • Diesel ORM with PostgreSQL • Deadpool connection pooling • UUID support
• Architecture: Hexagonal/Clean Architecture with DDD principles; clear separation between domain, infra, and handlers
• Error Handling: Idiomatic Rust patterns using From trait implementations instead of custom wrappers; proper error propagation with ? operator
• Database: Diesel migrations with UUID extension • Docker Compose setup with PostgreSQL 16 • Health checks and connection pooling

• Backend: Node.js (NestJS/Express) • Python (FastAPI, NumPy/Pandas) • Rust (Axum, Diesel, async/await, tokio) • GraphQL/REST
• Data/Infra: PostgreSQL (with Diesel ORM)• MongoDB • DynamoDB • Redis • RabbitMQ/SQS
• Cloud/DevOps: AWS (ECS, ALB, CloudFront, S3, Cognito, RDS, DynamoDB, SQS, CloudWatch), GCP, Terraform, GitHub Actions, Docker
• Frontend: React/Next.js, Vue, Angular, TypeScript, Vite, Tailwind
• Testing/Quality: pytest • vitest • tsc strict • ESLint/Prettier/Biome • schema validation (zod/pydantic) • Rust (Clippy strict linting, rustfmt)

• Rust Real-World Backend API — Production-ready Axum REST API with Diesel ORM, strict Clippy linting, idiomatic error handling
  https://github.com/Quentin-Piot/axum-diesel-real-world

• High-Performance Trading Platform (HPTP) — Cloud-native trading sim with live progress
  https://github.com/Quentin-Piot/high-performance-trading-platform

• EcoTracker (React Native) — Carbon footprint
  https://github.com/Quentin-Piot/eco-manager

• EcoManager (React Native) — Budget & transactions, mobile UX focus
  https://github.com/Quentin-Piot/eco-manager

• Rust Backend API: https://github.com/Quentin-Piot/axum-diesel-real-world
• HPTP: https://github.com/Quentin-Piot/high-performance-trading-platform
• Portfolio: https://quentinpiot.com
• LinkedIn: https://linkedin.com/in/quentin-piot
• Email: qkpiot@gmail.com