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.

Experience

DT
Draup Technologies
2020 to now
- SDET III — QA Lead
  2023 to now
  Leading quality for AI and data products
  Owns risk-based testing, automation, data validation, API monitoring, generative AI quality practices and QA team development.
  Agentic QA workflows
  AI-assisted test development
  Datadog API monitoring
- SDET II
  2022 to 2023
  Building test strategy and release quality
  Designed test strategy, automation, defect management, data validation and API observability for a large-scale SaaS platform.
  Test strategy for a large-scale SaaS platform
  Custom automated test frameworks
  Defect tracking and triage system
- SDET I
  2020 to 2022
  Testing enterprise applications and data products
  Worked across exploratory, functional and security testing, Big Data QA processes, NLP-driven queries and data analytics.
  High-volume performance and load testing
Features in 7 stories Highlights 4 areas of expertise
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CT
Cognosys Technologies
2019 to 2020
- Software Tester
BT
Binarybridge Technologies India
2017 to 2019
- Jr. Test Engineer

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Experience

Draup Technologies

Cognosys Technologies

Binarybridge Technologies India