Personal Information

  • Xingchen Lin / Male / 1994
  • 15101669791 / FutureCoder@aliyun.com
  • Alibaba Group / Development Expert / Retail Rotation Grand Slam🏆 / 2015.11–Present
  • Master of Artificial Intelligence / Adjunct Lecturer / Beihang University / 2019.09~2023.01
  • Serial Entrepreneur / Full-Stack Agile Engineer / Business & Product & UI/UX & Development & Testing & Deployment & DevOps & PR
  • Blog & Open Source / project256.com / https://github.com/SUTFutureCoder

Professional Summary

Senior Technical Expert & Full-Stack Architect with 10 years of R&D experience in Alibaba’s core retail business (covering the entire pipeline including products, search & recommendation, marketing, payment, orders, warehousing, merchants, SRE, etc.). Expert at applying cutting-edge technologies such as LLMs (PT/SFT/RAG), machine learning (GBDT), multimodal AI, NLP, and CV to solve complex business problems, driving significant improvements in core metrics (25.1% increase in visit-to-purchase rate) and large-scale cost reduction and efficiency gains (saving millions annually). Experienced in leading high-concurrency architecture design, complex system refactoring (ten-billion-scale product library migration), productivity toolchain construction, system stability assurance (26 months without financial loss), and cross-team collaboration. Possesses a 0-to-1 entrepreneurial spirit and full-link cost consciousness, with a passion for technical sharing and open-source contributions.

Skill Set

  • Languages: JAVA / Golang / Python / Lua / C# / PHP / Full-Stack Frontend Suite / Language Transpilation / Custom Language
  • Algorithms: Search & Recommendation Algorithms / Quantitative Trading / LLMs: PT, SFT, HNSW / Machine Learning Algorithms: GBDT / Computer Vision Algorithms: COVID-19 CT Recognition
  • Architecture: Search & Recommendation / IoT / Ten-Billion-Scale Product Library / LLMs: RAG, MCP / Merchants / Marketing / Payment / Orders / Warehousing / SRE Stability
  • Cross-Platform: Vue / React / React Native / Mini Programs / SwiftUI / Bootstrap / HTML5 / jQuery / Chrome Extensions
  • Data: MySQL / PostgreSQL / MongoDB / OpenTSDB / ElasticSearch / Redis / Memcache / MaxCompute
  • Others: Invention Patents / Efficiency Tool Development / Public Speaking & Sharing / AHA First Aid / Japanese N2 / CET-6 / Marathon & Triathlon Enthusiast

Work Experience

Merchant Domain (2024–Present)

  • Led the zero-to-one implementation of intelligent business analysis and data centers by comprehensively applying LLMs, GBDT, NLP, CV, and other algorithms to analyze and visualize merchant behavior impact factors. Overall increased merchant onboarding approval rate by 21.7%, reduced onboarding time consumption by 25.27%, and increased recommendation adoption rate from 4% to 9.7%.
  • Designed and developed the underlying RAG pipeline for Ele.me’s universal LLM middle-platform, laying the foundation for domain-wide LLM integration across Ele.me.
  • Conducted multiple company-wide live streams on algorithm topics, achieving a peak viewership rate of 31.92%, with technical articles topping internal headlines for consecutive weeks.

Product Domain (2023)

  • Independently completed the smooth migration of the ten-billion-scale product library search engine, built a custom Rosetta SQL dynamic compiler, and significantly improved code readability, maintainability, logical consistency, search migration, and troubleshooting efficiency by strictly adhering to the Strategy pattern and IoC.
  • Leveraged multimodal models and knowledge graph information-enhanced learning to achieve prediction accuracies of 94% for Level-3 categories, 93.4% for brands, and 97.14% for weights. Reached a high-GMV product overlap rate of ~63% among the top 500 core retail items, and increased GMV by ~18% in the medical/pharmaceutical industry for top 300 algorithmically predicted items compared to manual operations.
  • Led the pruning of redundant OpenAPI invocation steps and links, reducing invalid API calls by 20 million daily and saving over one million RMB in annual cloud resource costs.

Search & Recommendation (2022)

  • Introduced price competitiveness features + premium deranking strategies to optimize product distribution efficiency, resulting in a 9.86% increase in pCTR and a 25.1% increase in overall visit-to-purchase rate. Designed a user interest modeling scheme based on attention mechanisms, driving a 1.12% relative increase in impression-to-cart rate.
  • Designed and independently developed a decentralized DingTalk Intelligent Bot SDK, offering efficiency solutions including no-code integration, rapid layout formatting, data collection & analysis, monitoring & alerting, and automated self-service replies. Promoted adoption across 34 teams within Alibaba Group over 3 years, reducing over 11,000 man-days of repetitive labor and saving over 22 million RMB in total R&D costs.

Marketing & Stability Domain (2019–2021)

  • Responsible for R&D and stability assurance for marketing vouchers, campaigns, Double 11, Double 12, and other major promotion events. Ensured the stability of the New Retail marketing business line through traffic-grouped deployment, monitoring & alerting, financial loss reconciliation, slow query governance, middleware governance, trace governance, timeout governance, rapid mitigation via alert bots, and SOP training for deployment and emergency response.
  • Built the SRE system for the marketing domain, collaborated with 8 teams for major promotion assurance, developed 235 high-risk financial loss reconciliation items, organized 5 rounds of 139 financial loss red-teaming drills, and executed 3 rounds of system trace optimizations. Discovered and thwarted million-level financial loss incidents 25 times in advance, leading the team to establish a record of 26 consecutive months without financial loss incidents.

Payment & Order Domain (2017–2018)

  • Designed core modules of the Ele.me Star Select payment middle-platform: checkout counter, password-free payment, streaming reconciliation & alerting platform, payment stability monitoring, and third-party payment gateway integrations, achieving 24 consecutive months without financial loss incidents.
  • Independently developed an engineering efficiency toolchain: CI platform, slow query monitoring platform, streaming computation framework based on Golang & OpenTSDB, and unified log collection & query bot. Supported 14 teams in onboarding to Grafana service monitoring dashboards, enabling early detection and assisting in avoiding 2 P1-level outages.
  • Led cross-departmental collaboration, individually or leading teams to architect and develop multiple 1.0 projects. Mainly responsible for Settlement System 1.0, Order Fulfillment 1.0, Picking Assistant 1.0, and multi-active service construction. Led the team’s smooth migration from PHP to JAVA technology stack, successfully navigating tech stack integration challenges brought by corporate acquisition, and achieving a tech stack “triple jump” from Baidu → Ele.me → Alibaba.

Supermarket Channel, Warehousing Ecosystem, & Category Expansion Channels (2015–2016)

  • Responsible for the iteration, optimization, and development of Warehousing Ecosystem System, Quality Life, Supermarket Channel, Flowers & Cakes, Breakfast, Afternoon Tea, and Fresh Food channels. Implemented features such as nationwide delivery, holiday promotional events, product share image generation, and supermarket data export.
  • Supported the storage, retrieval, management, and client-side display of 800 million SKUs by comprehensively utilizing database sharding, caching, message queues, search engines, and cloud storage.

Baidu Cloud Security Department - Intern (2015)

  • Provided Baidu Cloud users and partners with capabilities to collect, aggregate, and analyze Baidu Cloud service logs, scan vulnerabilities, and detect & alert security risks. Responsible for developing 40+ log reading and analysis APIs along with unit tests, encapsulating ElasticSearch query methods and admin backend systems, supporting hundred-million-scale reported logs streaming processing and near-real-time querying.

Acknowledgments

Thank you for reading my resume. I look forward to the opportunity to discuss technical architecture and business innovation with you.