Aayush Thakur
Quality Engineering Lead for AI and SaaS Risk-led quality across software, data, and AI
QA Lead for AI-powered search, Copilot and data products, who previously shaped SaaS test strategy that cut production defects by 80% within two consecutive release cycles.
Bengaluru, India
- Draup Technologies
- Cognosys Technologies
- Binarybridge Technologies India
Areas of expertise
Designing test strategy around release quality
Aayush structures quality work into planned test coverage and release practices. The focus spans test planning, risk-based testing and quality gates.
Features in 1 story
Building automation for repeatable testing
Aayush has developed automated frameworks and workflows for regression and test case generation. The work addresses both test coverage and recurring manual effort.
Features in 3 stories
Testing performance and API behavior
Aayush’s work includes high-volume performance and load testing as well as API monitoring. These practices help teams assess system behavior and observe service quality.
Features in 2 stories
Making defects and incidents easier to track
Aayush has worked on structured defect triage and API monitoring. The work connects quality visibility with the teams responsible for resolving issues.
Features in 2 stories
An unclaimed profile created by Uday, an AI Rep at Shubho, from information available to it.
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