YIXIN XIANG

Backend / Platform Engineering

• Led reliability and decision-quality improvements for a multi-tenant, event-driven ticket orchestration platform built with Python, FastAPI, Zeebe, and BigQuery.
• Owned workflow-critical backend services end-to-end, improving operational stability and reducing downstream routing inconsistencies across production workflows.
• Redesigned markdown-state evaluation logic across heterogeneous retail-type signals, improving classification consistency and reducing misrouting risk in workflow automation pipelines.
• Calibrated confidence-threshold behavior for classification pipelines and introduced router-level fallback safeguards for notification delivery systems, improving failure tolerance under real-world data variability.
• Improved regression safety for shared workflow modules through targeted testing strategy enhancements, increasing release confidence for high-impact backend changes.
• Performed end-to-end integration and orchestration testing across asynchronous worker services and workflow engines to validate ticket lifecycle execution and improve production reliability.
• Investigated workflow execution failures and routing inconsistencies by tracing asynchronous task states across orchestration workers and event-driven services.
• Monitored and validated distributed workflow execution through Camunda and Zeebe tooling to support debugging, release validation, and production issue resolution.

Product & Full-Stack Engineering

• Led development of internal merchandising and analytics platform features used by Walmart business teams to streamline reporting workflows and operational decision-making.
• Independently delivered multiple end-to-end product initiatives across frontend and backend systems, collaborating directly with product managers, UX designers, and platform teams from design through production rollout.
• Redesigned and implemented core user workflows for the Wally platform, including Flyout navigation, landing page architecture, and feature restructuring, significantly improving usability and reducing workflow friction across user groups.
• Drove adoption of redesigned platform experiences across organizations, including previously hesitant stakeholder teams, by improving workflow intuitiveness and overall user experience quality.
• Developed dynamic reporting and summary capabilities that achieved the highest ASUS score among platform products and contributed to an estimated $1M+ annual operational savings for merchandising organizations.
• Built visualization and reporting features based on direct user feedback, increasing feature adoption and improving operational visibility across internal reporting workflows.
• Contributed to automation-focused reporting initiatives, including scheduled recap delivery systems projected to significantly reduce manual reporting effort across merchandising teams.
• Designed reusable frontend architecture and shared component patterns using React, TypeScript, Redux, and GraphQL to improve scalability and accelerate feature delivery across internal applications.
• Environment: Python, FastAPI, React, TypeScript, JavaScript, Redux, GraphQL, Zeebe, Camunda, BigQuery, PostgreSQL, Kubernetes, REST APIs, SQL, Material UI, Git, Jest

• Developed and maintained single-page web applications using React and Redux for product information and internal business workflows.
• Built reusable UI components and frontend modules that improved application scalability and simplified feature development across projects.
• Integrated RESTful APIs and managed asynchronous data flows using JavaScript, AJAX, and JSON-based services.
• Collaborated with cross-functional teams in Agile environments to deliver frontend enhancements, bug fixes, and new feature implementations.