01   /   THE PERSON BEHIND THE TESTS

HELLO, I'M MOHAMED SAAD BAZOURHI.

I BREAK
THINGS.
SO USERS
DON'T.

QA & Test Automation Engineer building reliable software through thoughtful testing, automation, and a little healthy skepticism.

EXPLORE MY WORK ↗DOWNLOAD CV ↓
SCROLL TO EXPLORECASABLANCA, MOROCCO · 2026
SYSTEM STATUS ● ONLINE
QUALITY_PIPELINE / LIVE PREVIEW⌘

$ pytest -q tests/

collecting test cases...

✓ requirements validated

✓ assertions verified

› quality is a process_

REPEATABILITY → BY DESIGN
PLAYWRIGHT ✳ PYTEST ✳ ROBOT FRAMEWORK ✳ API TESTING ✳ CI/CD ✳ SECURITY TESTING ✳ PLAYWRIGHT ✳ PYTEST ✳ ROBOT FRAMEWORK ✳ API TESTING ✳ CI/CD ✳ SECURITY TESTING ✳

// THE SHORT VERSION

TESTING ISN'T
JUST FINDING BUGS.

It's understanding what could go wrong before it reaches someone who depends on it.

I work at the intersection of software testing, automation, and cybersecurity—with a Master’s in Information Systems Security and an ISTQB CTFL certification. I like systems that are observable, tests that tell the truth, and documentation another engineer can actually use.

A BIT ABOUT HOW I WORK ↗

02   /   SELECTED WORK

BUILT TO
BE TESTED.

FOUR PROJECTS. FOUR DIFFERENT WAYS TO ASK THE SAME QUESTION: “WHAT IF THIS FAILS?”
FEATURED CASE STUDY01 / 04
AGENTIC QA / PIPELINE● LOCAL AI

SHOP-2 / CUSTOMER LOGIN

AGENT WORKFLOW ● READY
01 / READJIRAINPUT
→
02 / ANALYZE11REQUIREMENTS
→
03 / DESIGN9TEST CASES
→
04 / GUARD2SCRIPTS GENERATED
6 BLOCKED BY VALIDATION 1 UNSUPPORTEDHUMAN REVIEW FIRST ↗
AGENTIC
AUTOMATE RESPONSIBLY / NOT BLINDLY

01 / AI-ASSISTED QA · ONGOING

AGENTIC QA
PLATFORM

A three-agent workspace that turns Jira stories into traceable requirements, structured test cases, and reviewable Playwright automation plans. AI proposes; validation decides what gets generated.

PYTHONFASTAPIREACTJIRAOLLAMAPLAYWRIGHT
76 PASSING BACKEND TESTS AT REPORTED RUN↗
02 / MANUAL QUALITY ASSURANCEOPENCART 3.0.5.0
REQUIREMENTS TRACEABILITY
REQ-01USER REGISTRATION✓
REQ-07CHECKOUT PROCESS✓
REQ-12INPUT VALIDATION✓
REQ-18ORDER HISTORY✓
114TEST CASES11DEFECTS FOUND
EVIDENCE OVER ASSUMPTIONS

JULY 2026 / MANUAL TESTING

OPENCART
MANUAL QA

Full manual QA cycle for an e-commerce application: risk analysis, test planning, traceability, defect reports, and final release assessment.

114 TEST CASES45 SCENARIOSRTM
VIEW REPOSITORY ↗
03 / E2E AUTOMATIONROBOT FRAMEWORK
EXECUTION REPORT202 TOTAL TESTS
167 PASS 35 FAIL
82.67%
RECORDED EXECUTION PASS RATE
*** TEST RESULTS ***

APR — JUN 2026 / AUTOMATION

ROBOT FRAMEWORK
E2E SUITE

Multi-layer testing of OWASP Juice Shop across UI, API, databases, performance, and security—with CI workflows and Allure reporting.

ROBOT FRAMEWORKSELENIUMDOCKERALLURE
VIEW REPOSITORY ↗
04 / MULTI-LAYER QAFEB — APR 2026
97%PASS RATE
API / UI
PERFORMANCE
SECURITY

QUALITY ENGINEERING / TEST FRAMEWORK

SECURE QA
AUTOMATION PLATFORM

186 tests across 21 suites spanning UI, REST APIs, databases, performance, and security. Recorded 97% pass rate, with the complete run finishing in under four minutes.

PLAYWRIGHTPYTESTK6OWASP ZAPGITHUB ACTIONS
VIEW REPOSITORY ↗

The point isn't perfect numbers. It's knowing what passed, what didn't, and why.

03   /   HOW I THINK

THE METHOD
BEHIND THE MADNESS.

NOT JUST A LIST OF TOOLS. THE HABITS BEHIND THE WORK.
01 —
⌕

QUESTION FIRST.

Read the requirement. Challenge the assumption. Understand the risk before writing the test.

02 —
⌘

AUTOMATE WITH INTENT.

Repeat what matters. Prefer clear assertions and maintainable scripts over impressive test counts.

03 —
↗

SHOW THE EVIDENCE.

Traceability, reports, reproducible defects, and transparent results—not just green badges.

04 —
⛨

THINK LIKE AN ATTACKER.

My security background helps me look for edge cases, weak validation, and unintended behavior.

MY WORKBENCH
Playwright · Pytest · Robot Framework · Selenium · Postman · GitHub Actions · Docker · Jira · OWASP ZAP · k6 · SQL

04   /   RESEARCH & PUBLICATION

BEYOND THE
TEST SUITE.

FROM INVESTIGATING NETWORK THREATS TO PUBLISHED RESEARCH.

PUBLISHED BOOK CHAPTER · SPRINGER NATURE · 2026

NETWORK THREAT CLASSIFICATION USING XGBOOST ON CICFLOWMETER-STYLE FEATURES

Research into machine-learning-based intrusion detection, exploring how network traffic features can be used to classify cyber threats. Developed during my Master's research at ENSA Kénitra.

XGBOOSTINTRUSION DETECTIONMACHINE LEARNINGCYBERSECURITY
READ THE PUBLICATION ↗

DOI: 10.1007/978-3-032-28094-7_17

05   /   THE FOUNDATION

BEYOND
THE TOOLKIT.

THE THEORY MATTERS. SO DOES PUTTING IT TO WORK.

CERTIFICATIONS / TRAINING

01

ISTQB® CTFL V4.0

International Software Testing Qualifications Board

2026 ↗
02

WEB APPLICATION
PENTESTING

TryHackMe

2025 ↗
CERTIFIED TESTING FOUNDATION MEETS SECURITY-MINDED ENGINEERING.

EDUCATION

2023 — 2025

MASTER’S DEGREE
IN INFORMATION SYSTEMS SECURITY

ENSA Kénitra

2022 — 2023

BACHELOR’S / LICENCE
IN INFORMATION SYSTEMS & NETWORKS

EST Safi

2020 — 2022

DUT IN COMPUTER SCIENCE

EST Safi

RESEARCH / 2026 ↗SPRINGER
PUBLICATIONMachine-learning intrusion detection research

06   /   LET'S CONNECT

HAVE SOMETHING
WORTH TESTING?

I'm looking for opportunities to contribute to teams that care about building software well. Have a QA role, an interesting problem, or a conversation in mind? My inbox is open.

LET'S TALK ↗
EMAIL ↗LINKEDIN ↗GITHUB ↗RESUME ↓