Xiluo Xie

12 years of software engineering experience, primarily in backend development, with Golang and Python as core languages. Also capable of full-stack delivery spanning external APIs, backend services, admin platforms, and internal production tooling. Core experience is concentrated in security platforms, cloud scanning, security data systems, workflow orchestration, and cloud-native service delivery, with additional work across large-scale ETL, user profiling, recommendation systems, map POI data validation, and web crawling.

Most recently responsible for enterprise AI gateway and backend API development. Hands-on with GraphRAG / CodeGraph, MCP, and LLM wiki workflows, combining code knowledge graphs, tool invocation, observability data, and business data links for refactoring support, issue investigation, operations diagnosis, and knowledge capture. Long involved in private deployment, workflow orchestration, trusted result generation, auditability, and observability design, making this background a strong fit for enterprise RAG and knowledge-platform delivery in regulated environments.

Senior Backend Engineer (Golang) at Zhuhai Mingting Technology Co., Ltd. (2022-04 – 2026-06)

• Responsible for enterprise AI gateway and PivotClaw backend API development, building the backend entry point through which business systems consume AI capabilities, including model calls, request orchestration, interface governance, exception handling, and future extensibility.
• Used open-source coding agents such as Codex and CodeWhale to support requirement breakdown, code implementation, code review, test verification, and issue investigation, improving delivery efficiency for AI-related backend work.
• Built multi-repository code knowledge graphs based on GraphRAG / CodeGraph, using LLMs for entity and relationship extraction and graph-based retrieval / traversal for context organization; combined MCP, custom skills, and a local LLM wiki to organize tools, knowledge capture, and task flows, and used skills to summarize/query documentation and capture troubleshooting insights from AI conversations into the LLM wiki.
• Connected MySQL, Prometheus metrics, and production log pipelines through MCP, bringing alerts, troubleshooting, change analysis, knowledge retrieval, and tool invocation into a unified automated workflow; developed hands-on practice in task decomposition, iterative retrieval, and automated issue investigation based on MCP, skills, and tool invocation, supporting refactoring, operations diagnosis, and knowledge reuse.
• Designed, developed, delivered, and maintained the office document scanning backend system. This system was a simplified, multi-tenant, privately deployed version of the cloud scanning platform for different customer environments.
• Used Temporal to orchestrate document scanning workflows around file metadata extraction, type identification, feature extraction, parent-child file relationship extraction, and result handling, covering task scheduling, result handling, historical result tracking, automatic reruns, delivery adaptation, and production support.
• Packaged security detection capabilities into a privately deployable backend system, with focus on tenant isolation, RBAC, file encryption, task reliability, trusted results, exception recovery, version upgrades, and deployment maintenance.
• Led the overall architecture redesign of the new cloud scanning system and rewrote most major subsystems in Golang, improving maintainability, clarity, and extensibility.
• Covered both file security and URL security scenarios, using verdicts from 20+ engines for workflow orchestration, result fusion, policy evaluation, and trusted output generation.
• Used Temporal extensively to orchestrate multi-engine scanning workflows based on sample type, task type, engine capabilities, and business strategy, supporting complex scheduling, retries, state tracking, and workflow evolution.
• Focused on false-positive control, result trustworthiness, staged rollouts, and production troubleshooting, while also building A/B testing, latency monitoring, result-quality evaluation, automatic reruns, and reporting mechanisms; reduced maintenance cost and improved workflow observability through service refactoring and Temporal-based orchestration. This experience is transferable to RAG scenarios involving multi-source evidence fusion, confidence judgment, conflict resolution, provenance, and auditable outputs.
• Continued the DevOps and platform-governance practices established in the earlier Baqu stage, maintaining legacy cloud scanning systems and shared libraries while contributing to code review and engineering standards.
• Continued infrastructure standardization through VPN, HTTP / gRPC scaffolding, GitLab Runner deployment, and CI/CD configuration, improving consistency of backend project delivery.

Senior Backend Engineer (Golang / Python) at Zhuhai Baqu Tech Cloud Backend (2018-08 – 2022-03)

• Participated in the overall architecture design of the threat intelligence center, covering services such as file center, cloud scanning, relationship data, metadata, sandbox, feature-cloud scanning, and false-positive control, while supporting file/URL object association and provenance tracking.
• Supported ABAC-based field-level access control in threat-intelligence query scenarios to restrict which fields different user roles could access.
• Built client event collection, data cleansing, report generation, and risk warning capabilities for the Team Edition SaaS system, implementing behavioral and risk alerts based on client-side events and rule strategies to support security event governance and analysis.
• Upgraded core security systems and independently redesigned the false-positive control and feature-cloud scanning subsystems, focusing on result quality, false-positive reduction, query efficiency, and maintainability.
• Maintained and iterated core service systems, including gray release, emergency response, content distribution, and promotion-related services.
• Participated in the 0-to-1 build-out of DevOps capabilities, including monitoring setup, messaging notification, short-link service design, and secondary development of Apollo configuration center.
• Received awards for Best Shared Library Contribution and Outstanding Employee.

Backend Engineer (Python / Java) at Alibaba Games Big Data Center (2016-01 – 2018-08)

• Maintained and evolved the large-scale ETL platform, participating in high-volume data processing, task scheduling, data cleansing, and platform capability development.
• Worked on backend development for the DSP advertising platform, DMP platform, and game analytics platform, with experience in user profiling, tag systems, and structured data processing.
• Designed and implemented a Python ORM framework to improve development efficiency and data access consistency.
• Worked on both backend and frontend development for the data cloud migration platform, including tooling, CMS/admin-platform support, and delivery enablement.

Full-Stack Engineer (Python / C++ / JavaScript) at Alibaba AutoNavi POI Department (2014-07 – 2016-01)

• Designed and implemented crawler systems for map POI data such as hotels, restaurants, and other merchant points of interest, including data collection, validation, cleansing, processing, and production support.
• Developed production-support systems, efficiency tooling, and CMS / admin platforms, improving data production efficiency.

Bachelor's Degree in Remote Sensing Science and Technology – China University of Geosciences (Wuhan) (2010 – 2014)