Software that scales withoutbreaking
Performance Testing and Automated Quality specialist. I guarantee your software works under any scenario.
99%
Quality Score
1,847
Bugs Prevented
99%
Quality Score
1,847
Bugs Prevented
∞
Zero downtime
How we build software that doesn't fail.
The difference between a great experience and a crash lies in these four phases.
Before writing a single line of code.
A bug in production costs 100× more than one caught in design.
- Critical risks identified before they become a crisis
- AI analyzes requirements and generates scenarios automatically
- Every release has a clear verification plan
QA Strategy
Risk map and coverage by flow
Tests that run while you sleep.
Manual testing works. Automated testing scales.
- Automated regression: no bug comes back undetected
- Integrated in CI/CD with GitHub Actions and Jenkins
- Web, iOS and Android with a single quality strategy
Every user flow, verified 100%.
It's not enough for pieces to work separately.
- Critical flows like payment, login and onboarding never fail
- Visible coverage to detect untested areas
- Self-healing selectors for dynamic UI
100,000 users. Zero downtime.
Black Friday and mass launches demand resilience.
- JMeter simulates the worst scenario before production
- Precise detection of bottlenecks: API, DB or Infra
- Resilience design for high-traffic events
How to kick off with AI assistance.
A good start reduces rework and makes AI an advantage from week 1.
From requirements to risks
AI analyzes user stories to detect functional gaps.
- Critical flow mapping
- Automatic edge scenarios
Multi-layer strategy
We define what to automate, what to test manually and what deserves load testing.
- Smoke & Regression processes
- Automation matrix
Agile automation
We accelerate test creation with prompts and human reviews.
- CI integrated on every commit
- Self-healing suites
Data-driven launch
The release stops being a gamble and becomes an evidence-based decision.
- Post-deployment monitoring
- AI-assisted continuous improvement
Understand, propose and execute.
A clear path from first contact to delivery with evidence.
Contact
I receive brief and objectives.
AI analysis
We detect business gaps.
Diagnosis
I define risks and priority.
Delivery
I share evidence and findings.
Client input
Improve quality before the release
Active product under time pressure.
Detected results
- Structured summary
- 5 high-priority risks
Podcast: Real Quality
Short, practical, no-fluff episodes for QA engineers, SDETs and technical leaders.
Actionable episodes
12-20 min focused on solving real problems without unnecessary filler.
For technical leaders
Designed for QA engineers, SDETs, Tech Leads and Product Managers.