Work Experience

Senior QA Engineer

Confidential Company · Confidential

May 2026 – Present

Role highlights

• Develop a scalable AI-first solution that transforms test automation artifacts into a structured, queryable knowledge base using Python, MongoDB, TypeScript/Node.js, Git/GitHub, and graph-style modeling.
• Model entities and relationships across suites, test cases, tasks, objects, scenarios, request bodies, validation sets, connections, and datasets to create a consultable technical knowledge layer.
• Design an agent-oriented context layer to support supervised execution, modification, maintenance, and creation of test cases while preserving traceability and dependency awareness.
• Build ingestion, normalization, and incremental indexing pipelines for automation artifacts, preserving metadata, dependencies, and change history.
• Integrate Git/GitHub repositories, pull/push flows, branches, tags, and remotes to treat version control as the source of truth for automation artifacts.
• Adapt Electron/Node.js, NodeGit, and ASAR-based desktop workflows for restricted corporate environments while protecting credentials in remotes, logs, and command execution.