Tatyana Kazakova — Co-Founder
👉 The leaders I work with already have QA. But they are tired. Not physically. Mentally. Emotionally. Strategically. They carry releases, teams, customers, outages, and expectations - all while the ground under them keeps shifting. You might be responsible for delivery, quality, budgets, and the company's long-term technical direction. You might even be doing well by external standards. The product ships. The roadmap moves. The board is not panicking. But when do you get time to step back and ask whether the way quality is organized today will still work tomorrow? Will your current testing model survive another reduction? Will AI quietly pass you by while you are busy holding things together? 📌At some point, experience alone stops being enough, because you cannot see the system you are standing inside. In tech, leaders are taught to absorb pressure, move forward, and make things work with whatever they have. This often shows up as: * holding onto QA structures that once worked, but now feel heavy * worrying that automation costs more than it gives back * postponing AI adoption because the risk feels bigger than the promise * carrying a quiet fear of becoming outdated, without time or budget to reinvent The work continues. But the confidence slowly erodes. Over the last few years, I have worked with leaders who already “did everything right”: hired testers, built automation, introduced process, and still felt uneasy before every major release. Not because they lacked tools. But because they lacked **clarity**. Clarity about where risk truly lives. Clarity about what can be trusted. Clarity about how quality should evolve when teams shrink and expectations grow. 👉 The leaders I work with often struggle with: 📌 Releasing with a constant knot in the stomach 📌 QA effort not translating into confidence 📌 Fear of betting wrong on AI or not betting at all 📌 Reducing teams while knowing risk is increasing 📌 Quietly wondering if their quality model is aging 👉 We do not “transform.” We stabilize first. We slow the noise so you can see: ✅ What actually protects your product ✅ What is costing you without reducing risk ✅ Where AI helps and where it creates false confidence We rebuild quality into a system that still works when budgets tighten, teams change, and the industry moves faster than your planning cycle. Many leaders never talk about this pressure out loud. They simply carry it. If you already have QA, but the fear is growing instead of shrinking, and the future feels closer than you are ready for 📩 DM me.
Stackforce AI infers this person is a SaaS Quality Assurance Leader with expertise in AI testing and automation.
Location: Los Angeles, California, United States
Experience: 15 yrs 7 mos
Skills
- Quality Assurance
- Ai Testing
- Qa Transformation
- Team Leadership
- Performance Testing
- Test Automation
Career Highlights
- Expert in AI testing and QA transformation.
- Proven track record in leading high-performing QA teams.
- Innovative approach to integrating AI in testing workflows.
Work Experience
Arist
Staff QAE (1 yr)
Qazaco
Founder | QA Transformation & AI Testing Consultant (1 yr 10 mos)
BuildOps
Director of Quality Assurance (1 yr 8 mos)
Emotive
QA Manager (1 yr 11 mos)
Sr QA Engineer (6 mos)
Endpoint
Sr QA Automation (1 yr 4 mos)
Eccentex
Sr QA Engineer, Scrum Master (1 yr)
Solution Mentors Inc
Software QA Engineer (3 yrs 3 mos)
Solvegen LLC
Quality Engineer (5 yrs 1 mo)
Education
Master's degree at Donbass state machine building academy
