A Dubai-based Tech Expert & AI Engineer building GenAI-native systems, agentic QA assistant, and practicing vibe-coding along the way
Head of QA Engineering with 10+ years transforming quality operations through strategic leadership and technical excellence. I specialize in building world-class distributed teams and implementing scalable QA frameworks.
Making enterprise-grade QA practices accessible and affordable for small and medium businesses
Integrating AI tools into everyday workflows to automate repetitive tasks and enhance productivity
Design a vibe-coding framework that consistently produces reliable, maintainable, and scalable code—ready for enterprise-scale codebases
Applying Anthropic patterns and best practices across all use cases, leveraging Claude Code as an agentic system for enhanced business workflows
Inject AI at every QA touchpoint across the SDLC to automate checks and validations, then produce instant, explainable quality reports on each change—including a prioritized defect list with root-cause analysis
Outcome-based, metric-driven management approaches for fully distributed teams with minimal headcount
Head of QA Engineering
Head of QA Automation
QA Automation Lead
Senior QA Automation Engineer
QA Automation Engineer
Master's Degree in Applied Mathematics & Computer Science
Real-world QA transformations and their measurable impact
Cloud Solutions & DevOps
AWS Advanced Consulting Partner specializing in cloud-native software engineering, DevOps transformation, and SaaS infrastructure optimization.
Team Size
14 engineers
Duration
18 months
Led 14-person QA team through comprehensive transformation during company relocation to EU, managing near-complete team dissolution while maintaining service continuity across five product lines.
Near-complete team dissolution
Weekly 1:1s, strategic resistance management
SCARF-based change management
Smart Devices & AI
Innovation division of Sber Bank developing smart home devices, voice assistants, and AI-powered consumer electronics to rival global tech giants.
Team Size
14 engineers
Duration
2 years
Built test automation from scratch for 900-person startup within regulated banking environment, creating infrastructure for smart devices ecosystem competing with Amazon Alexa.
No automation infrastructure
14-person team, phased rollout
Multi-framework architecture
Cloud Solutions & DevOps
AWS Advanced Consulting Partner specializing in cloud-native software engineering, DevOps transformation, and SaaS infrastructure optimization.
Team Size
14 engineers
Duration
18 months
Transformed remote team performance through data-driven metrics system, connecting KPIs directly to personal development and recognition systems using AWS QuickSight and DataBricks.
Remote team visibility gap
Python ETL, stakeholder collaboration
AWS QuickSight + DataBricks
Ready to transform your QA operations and build world-class quality teams? I'd love to discuss how we can work together.
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