Save – Playwright, Cypress, Selenium

Built an AI-native test automation framework designed to unify UI, API and database testing within a single reusable architecture. The framework was created for engineering and QA teams that needed faster test creation, lower maintenance overhead and scalable automation across different applications and environments. I led the product and QA architecture, including its automation model, developer experience and AI-assisted testing capabilities.

• Co-founded and shaped the product vision, architecture and technical direction of the automation framework;
• Designed a unified automation architecture for UI, API and database testing;
• Built reusable Java-based testing components using Selenium, REST Assured, JUnit and database integrations;
• Introduced a fluent automation model that simplified test creation and reduced duplicated framework code;
• Implemented reusable authentication, API validation, test-data storage and retry mechanisms;
• Designed Maven archetypes that generated ready-to-use automation projects for different testing needs;
• Integrated automated execution with GitHub Actions, parallel test execution and Allure reporting;
• Built workflows that transformed Jira-labelled requirements into automated engineering tasks through GitHub Actions and AI coding agents;
• Introduced AI-assisted test generation and self-healing concepts to reduce automation maintenance;
• worked directly with developers and QA engineers to continuously improve usability, scalability and framework quality.

Built a repository-aware AI engineering platform designed to improve how coding agents perform on real software projects. The system evaluated AI-generated engineering work against project-specific requirements, identified weaknesses, optimized agent behaviour and used successful engineering sessions to continuously improve future results. I helped shape the product architecture, evaluation model and multi-agent workflows behind the evaluate–optimize–fine-tune cycle.

• co-designed the architecture and technical direction of the AI engineering platform;
• built repository-aware evaluation workflows for measuring AI coding-agent performance;
• designed weighted quality checks covering correctness, implementation quality, execution time and token usage;
• created multi-agent workflows that analysed failed evaluations and assigned specialised AI agents to fix individual problems;
• built automated evaluate–optimize–re-evaluate pipelines using Claude Code and custom agentic workflows;
• designed repository-specific AI skills that taught coding agents project architecture, internal frameworks, conventions and implementation patterns;
• implemented workflows for generating structured datasets from successful AI engineering sessions;
• contributed to an LLM tuning pipeline that used validated engineering interactions to improve model behaviour for specific codebases;
• designed prompt strategies, agent roles and guardrails to improve consistency and reduce unnecessary AI interactions;
• integrated AI evaluation into autonomous software-engineering workflows and CI/CD processes;
• tested and benchmarked different AI configurations to measure improvements in engineering quality and efficiency;
• created technical demonstrations and product workflows showing how AI agents could move from generic coding assistance toward repository-specific engineering autonomy.

Worked across enterprise digital products and data-driven platforms, supporting complex systems with multiple integrations, APIs, databases and external data sources. My role focused on defining the QA approach, architecture and development of testing framework, validating end-to-end business flows and data accuracy, and improving how quality was managed across teams and releases.

• Led the testing process end-to-end, ensuring reliability and continuous improvement of testing practices through in-depth process analysis.
• Achieved 92% test automation coverage, cutting regression testing time by 88% and accelerating release cycles.
• Redesigned defect resolution workflows, reducing turnaround time by 50% and improving sprint velocity.
• Designed a CI/CD monitoring process and strategy for each environment.
• Defined and continuously monitored project quality KPIs across 5 test environments on a 3-week release cadence.
• Technically led and directly managed a QA team of 20 engineers, including hiring and performance reviews.
• Managed vendor and third-party technical relationships within a matrix organization.

Worked on web-based software products and enterprise applications with complex business workflows, integrations and customer-facing functionality. I was responsible for quality across the development lifecycle, from requirements analysis and test design to automation, release validation and production support, while also leading QA activities within the team.

• Led QA activities across multiple software projects and releases;
• Defined testing strategies, test scenarios and regression coverage;
• Performed functional, non-functional, integration, API, database and end-to-end testing;
• Designed and maintained automated regression tests for critical business workflows;
• Validated integrations between internal systems and third-party services;
• Analysed requirements and identified functional, technical and usability risks early in development;
• Collaborated closely with developers, product managers and business stakeholders throughout the delivery lifecycle;
• Investigated complex defects and supported root-cause analysis and production issue resolution;
• Managed defect reporting, prioritization and release-quality assessment;
• Mentored QA engineers and supported the growth of testing practices within the team;
• Improved QA processes, documentation and test coverage across projects;
• Owned company-wide QA policy and strategy, defining ways of working and leading the overall QA vision.
• Developed testing frameworks and defined coding standards.
• Built and maintained CI/CD pipelines, cutting deployment time by 60% and increasing release frequency.
• Managed cloud test environments and associated test data.
• Led technical interviews and hired QA engineers, building the team from the ground up.