Machine-readable resume — fetched and edited by AI agents (Claude, Cursor, ChatGPT) through the cv-pro CLI or MCP. Also served as raw JSON at /annehuang.json.
{ "username": "annehuang", "header": { "name": "Anne Huang", "tagline": "AI Product Manager | 4+ years in LLM, Agent, RAG, OCR, CV and robotics-based AI products" }, "personalInfo": { "email": "xinyi.anne.huang@foxmail.com", "location": "Shanghai, China" }, "experience": [ { "company": "C12.ai", "role": "AI Product Manager, Lab Robotics", "startDate": "Jan 2026", "endDate": "Present", "bullets": [ "Built the Talos laboratory robotics software product from 0 to 1, enabling chemists to use a bilingual conversational platform to issue experiment commands across TLC, column chromatography, LC-MS, component collection, rotary evaporation and weighing workflows.", "Designed an AI intent-recognition and execution flow using proprietary chemistry models, LLM, OCR and Human-in-the-loop validation to recommend experiment parameters, recognize results and guide next actions, improving chemist execution efficiency by 6-12x from 1-2 hours to about 10 minutes.", "Designed a self-learning agent platform to capture chemists' experimental expertise as reusable company skills, covering creation, recognition, triggering, review, download, feedback and iteration; planned a column chromatography POC within 1 month and 50 triggerable skills within 2-3 months.", "Built an AI-native PRD, UX and UI production workflow with vibe coding and design tools, improving internal product workflow efficiency by 30% from 7 days to 5 days." ], "tags": [ "AI Agent", "Lab Robotics", "LLM", "OCR", "VLA", "0-1 Product" ] }, { "company": "Fiture", "role": "Coach Product Lead, AI + Live Training", "startDate": "Dec 2024", "endDate": "Jul 2025", "bullets": [ "Led coach-side products for AI + live personal training, building a coach mobile operation tool from 0 to 1 and collaborating on PC-side AI-assisted teaching, coach supervision and operational tools.", "Improved coach supply efficiency by launching schedule preview and time-opening guidance, increasing average available coaching time from 6 hours to 8 hours per person per day and raising active coach participation from 53.2% to 69.1%.", "Designed smart lesson-preparation capabilities based on training goals, target body parts, session duration and course library matching, improving coach preparation efficiency by 90%+.", "Launched AI-assisted teaching tools using CV, OpenCV, Qwen2.5 and RAG over exercise guidance data to help 86% of non-top-tier coaches deliver more stable teaching quality, improving 1,300+ monthly class hours of user experience.", "Reduced coach absenteeism by 90.2% through reminder, monitoring, negative feedback and penalty mechanisms; saved 245 hours per week in manual schedule collection and improved finance salary calculation efficiency by 80%." ], "tags": [ "AI Fitness", "B2B2C", "CV", "RAG", "Coach Tools", "Hardware + Software" ] }, { "company": "Meituan", "role": "Product Manager, Homestay Business Innovation", "startDate": "Nov 2023", "endDate": "Nov 2024", "bullets": [ "Owned AI intelligent customer-service and operation assistant initiatives for homestay hosts, combining host operation data, service tickets and knowledge base content to improve B-side daily operations and transaction fulfillment.", "Generated personalized operation guidance using host knowledge base, service tickets and local business insights, projected to increase 328 orders per day and reduce host customer-service labor cost by RMB 140K.", "Optimized marketing activity enrollment and review-related interaction flows, increasing supply room nights by 110% from 322 to 678 per month and improving bad-review-room signup conversion from 2.01% to 12.7%.", "Used AI to extract historical review keywords and repair misleading user information, projected to reduce 27 complaints per month, recover RMB 159K monthly losses and improve user trust.", "Identified user itinerary changes, delayed host acceptance, unreachable hosts and no-room-arrival scenarios, then designed solutions such as upgrade and room-change recommendations to recover 156 dropped orders per day." ], "tags": [ "AI Assistant", "RAG", "Homestay", "B-side Operations", "C-side Experience", "Growth" ] }, { "company": "Meituan", "role": "Supply Chain Product Manager, Platform Product", "startDate": "Jan 2022", "endDate": "Oct 2023", "bullets": [ "Improved merchant listing, order creation and review efficiency for the Kaidianbao merchant app across 188 industries, building AI-assisted listing, OCR, AI pre-check and review-experience capabilities.", "Designed AI-assisted listing to transform unstructured natural language into structured listing information, reducing merchant listing time by 80% and improving success rate by 25 percentage points.", "Built OCR and AI pre-check capabilities to detect non-compliant images and text before submission, reducing review rejection rate by 10.4 percentage points from 26.1% to 15.5% and increasing machine review rate by 10 percentage points.", "Designed refined rejection flows that guided merchants to exact fields and actionable reasons, projected to reduce merchant consultation tickets to 2.06 per month and save RMB 90K annually in labor cost.", "Created an audit visualization flow for merchant review progress where direct B2B references were limited, reducing review-expediting service tickets by 47.8%." ], "tags": [ "Merchant Platform", "AI Listing", "OCR", "Review Workflow", "B-side Product", "Platform Product" ] } ], "education": [ { "school": "Shanghai University of Finance and Economics", "major": "MPAcc", "degree": "Master", "startDate": "Sep 2019", "endDate": "Jan 2022" }, { "school": "Hunan International Economics University", "major": "Accounting", "degree": "Bachelor", "startDate": "Sep 2014", "endDate": "Jun 2018" } ], "projectsRecent": [ { "title": "AI Lab Smart Platform", "description": "0-1 Talos lab robotics platform connecting conversational AI, chemistry models, OCR and robotic execution to improve chemist experiment efficiency by 6-12x.", "url": "https://c12.ai/en#demo", "tags": [ "AI Agent", "Lab Robotics", "Chemistry LLM" ] }, { "title": "AI-Assisted Teaching Tool", "description": "Coach-facing AI guidance system using CV, Qwen2.5 and RAG over 2,200+ exercise movements to improve non-top-tier coach quality and class experience.", "url": "https://anne-huang-portfolio.lovable.app/", "tags": [ "CV", "RAG", "Qwen2.5" ] }, { "title": "AI Business Assistant for Homestays", "description": "AI operation assistant based on host tickets, business data and knowledge base, projected to add 328 orders/day and recover 156 dropped orders/day.", "url": "https://anne-huang-portfolio.lovable.app/", "tags": [ "AI Assistant", "Operations", "Homestay" ] } ], "projectsDetailed": [ { "title": "AI Lab Smart Platform", "type": "Proprietary Chemistry Model + LLM + Robotics", "startDate": "Jan 2026", "endDate": "Present", "url": "https://c12.ai/en#demo", "bullets": [ "Problem: chemists spend significant time on repetitive experiment execution and waiting processes, while experimental expertise is usually transferred manually and cannot easily become reusable company assets.", "Solution: designed an agent platform integrated with VLA robotics to help chemists issue experiment commands, validate results and accumulate effective experimental skills that improve AI recommendation accuracy.", "Responsibilities: built the Talos smart laboratory platform for chemistry Q&A, robot parameter submission, experiment result confirmation, AI parameter recommendation, execution-result judgment and next-step recommendation.", "Outcome: projected to improve chemist execution efficiency by 6-12x from 1-2 hours to about 10 minutes; planned 1-month column chromatography POC and 50 triggerable skills within 2-3 months." ], "tags": [ "AI Agent", "VLA", "LLM", "OCR", "Robotics", "Enterprise Knowledge Assets" ], "externalLink": { "label": "C12.ai Demo", "url": "https://c12.ai/en#demo" } }, { "title": "AI-Assisted Teaching Tool", "type": "Fitness Vertical Model + LLM + RAG", "startDate": "Dec 2024", "endDate": "Jul 2025", "url": "https://anne-huang-portfolio.lovable.app/", "bullets": [ "Problem: coaches lacked personalized private-class guidance and common-issue summaries for group classes, especially junior coaches who needed support to reach above-average teaching quality.", "Solution: optimized a fitness vertical model using students' historical training data, exercise-library guidance, progression and regression movements, OpenCV posture recognition and LLM + RAG output.", "Responsibilities: organized common issues and coaching guidance across 2,200+ movements, built a training-problem RAG database, selected 200+ high-priority actions and trained Qwen2.5 using 20-100 videos per movement.", "Outcome: expected to improve teaching quality for 86% of regular coaches, improve 1,300+ monthly class hours of user experience and reduce average platform training hours by 60%." ], "tags": [ "RAG", "OpenCV", "Qwen2.5", "AI Coaching", "B2B2C" ] }, { "title": "AI Business Assistant for Homestays", "type": "Large Model Application for Homestay Operations", "startDate": "Nov 2023", "endDate": "Nov 2024", "url": "https://anne-huang-portfolio.lovable.app/", "bullets": [ "Problem: hosts' daily operations involved listing, order and fulfillment issues, while limited data-driven guidance could lead to poor experiences such as guests arriving with no room available.", "Solution: integrated operation data, service tickets and knowledge base content to create an AI assistant that provides personalized host guidance.", "Responsibilities: analyzed 1M+ host service tickets from January to June, summarized 3 major categories and 40+ subcategories of frequent issues, and determined that AI could cover 41% of operational problems.", "Outcome: first phase solved 12.3% of issues; expected to reduce host consultation labor cost by RMB 140K, recover 156 dropped orders/day and add 328 new orders/day." ], "tags": [ "AI Assistant", "Service Tickets", "Knowledge Base", "Intent Recognition", "Operations" ] }, { "title": "AI-Assisted Merchant Listing and Review Optimization", "type": "Platform AI Product + OCR + Review Workflow", "startDate": "Jan 2022", "endDate": "Oct 2023", "url": "https://anne-huang-portfolio.lovable.app/", "bullets": [ "Problem: merchants faced slow listing creation, high review rejection rates and high rule-comprehension costs across 188 industry scenarios.", "Solution: designed AI-assisted listing, OCR identification, AI pre-check and refined rejection workflows, while aligning review strategy with operations.", "Responsibilities: analyzed rejection causes, built front-loaded OCR and AI text compliance checks, designed actionable rejection localization and created a review visualization flow for the merchant backend.", "Outcome: reduced merchant listing time by 80%, improved listing success rate by 25 percentage points, reduced rejection rate by 10.4 percentage points and reduced review-expediting tickets by 47.8%." ], "tags": [ "AI Listing", "OCR", "B-side Product", "Review System", "Merchant Experience" ] } ], "skills": [ { "name": "AI Product", "items": [ "LLM applications", "AI Agent workflows", "RAG", "OCR", "Computer Vision", "Robotics workflows", "AI-assisted product operations" ] }, { "name": "Product Management", "items": [ "0-1 product planning", "Requirement analysis", "Solution design", "Experiment design", "Launch execution", "Post-launch evaluation", "B-side and C-side product strategy" ] }, { "name": "Tools", "items": [ "Figma", "Claude Code", "Codex", "Vibe coding", "AI-native workflow design" ] }, { "name": "Languages & Communication", "items": [ "Mandarin native", "English CET-6 530", "Cross-functional communication across platform, operations, design and engineering teams" ] } ], "contact": [ { "label": "Portfolio", "url": "https://anne-huang-portfolio.lovable.app/" } ], "meta": { "updatedAt": "2026-07-02T17:57:56.038Z" } }