Engineering portfolio

A local-first multi-agent QA framework that explores applications, designs testing strategies, generates automation assets, executes Playwright suites, analyses failures, and supports controlled self-healing.

A Python-based data-quality and observability framework for validating schemas, business rules, warehouse integrity, anomalies, drift, and lineage.

An automation workflow that analyses job descriptions, calculates candidate fit, selects verified career evidence, and generates role-specific CVs without inventing qualifications.

An AI agent that analyses failing Playwright locators, retrieves similar passing locators from a vector database, generates GPT-proposed replacements, and presents ranked suggestions for human approval.

An NLP-driven agent that ingests test results, classifies failures by root cause, clusters related issues, generates human-readable summaries, and creates Jira tickets with diagnostic evidence.

A CI-integrated performance testing pipeline using k6, TypeScript, and Grafana that runs synthetic load tests, validates SLOs, and publishes dashboards on every deployment.

A machine-learning agent that analyses code changes, historical test results, and coverage data to predict which tests are most likely to fail and recommends a targeted regression suite.