QA × AI Tools
Jérémy Bazan
Senior QA Engineer · AI-augmented testing
Deterministic first, AI where it earns its place — QA stays the arbiter.
QA engineer and AI lead for my unit. I automate testing from web to embedded and augment it with AI — LLMs, agents, MCP.
By the numbers
−30%
Release-validation time across the Web (Playwright) and Mobile (Appium / Maestro) stacks, by industrializing an automation strategy built from the ground up.
7 open-source tools
Six test frameworks — around 848 cumulative tests — plus one plugin for coding agents. Runs locally, with a systematic deterministic fallback, and no external API key required.
−60 to −80%
Design time on the upstream phases an LLM can support: Definition-of-Ready checks, deriving acceptance criteria into passing and failing scenarios, high-level scoping of the test strategy.
Mapped by domain
AI × Quality engineering
Critical systems
Test reliability & delivery
QA × AI insights
Notes and analyses shared on LinkedIn — each card opens the full article.
- Security & QA"Strong" passwords: what if your acceptance criteria dated back to 2003?NIST has inverted the rules inherited from 2003: composition banned, rotation forbidden, length first. How many test suites still validate the old model?Read the article →
- AI & QAAI in QA: start with the simple tasksReviewing a user story against the DOR, writing documentation: the fastest ROI on AI is not where people look for it.Read the article →
Stack
- Playwright (TypeScript · Python)
- Pytest
- Python
- GitLab CI / Azure DevOps
- MCP & AI agents
- Pydantic
Background
Today
QA Engineer / QA Tech Lead at EDF Solutions Solaires (Limonest, France), AI lead for the unit. Scope: web, mobile, embedded.
Nearly 6 years in software quality
ISTQB Foundation v4 (2024). Bilingual French / English (professional experience in the United Kingdom).
Mobility
open to a permanent role in French-speaking Switzerland, Vaud in particular. French citizen, EU/EFTA freedom of movement.