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Share the business context first. I will help assess whether the AI application is worth building, how to approach it, and where the main risks are.
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AI application delivery
I help teams move RAG systems, support assistants, and agent workflows from demo to delivery.
10 years of software engineering experience, building LLM applications since 2024, focused on practical enterprise implementation.
Experience spans securities, regulatory-related work, healthcare, shipping logistics, and environmental utility scenarios, with public material kept anonymized.
Production Workflow & System Integration
Teams that have validated RAG or document extraction value and need to integrate into real departmental workflows; teams needing to connect AI into OA, CRM, ERP, knowledge bases, ticketing systems, or WeCom.
AI Module Subcontracting & Technical Partnership
Software companies that have client requirements but lack RAG, document extraction, or workflow delivery experience; system integrators needing AI modules, PoCs, bid demos, or delivery support; SaaS teams looking to add AI capabilities without hiring full-time AI engineers.
AI Scenario Diagnosis & Technical Assessment
Business leaders with AI ideas but unsure if they are worth pursuing; teams with a demo that cannot ship to production; teams uncertain about budget, timeline, key risks, and MVP boundaries.
Enterprise RAG Knowledge Base
Teams with policy docs, product documentation, support FAQs, ticket history, training materials, or internal knowledge bases looking to build internal Q&A or support assistance.
Document Parsing & Information Extraction
Teams dealing with contracts, due diligence files, research reports, announcements, PDF tables, scanned documents, and bid documents that need structured extraction.
Selected work
Evidence-oriented cases, projects, and writing.
AI Report Pipeline For Health Check Workflows
The pipeline established four production-oriented generation paths for recommendations, medical explanations, advice, and contradiction detection; recommendation outputs were checked against the institution catalog before fields could pass through, contradiction detection accumulated 13 named false-positive exemptions, and writing rules were formalized for both explanation and advice outputs.
Health Check Report AI Assistant
A report-pipeline AI project for a large health check provider, covering package recommendation, medical education, recommendations, and contradiction detection.
Fund Contract Extraction and Evaluation Pipeline
An engineering pipeline for extracting, verifying, and evaluating structured fields from private fund contracts.
In Health Check AI, Generation Is The Easy Part. Boundary Control Is Harder.
In health check report pipelines, the real work is not making LLMs generate text but turning recommendation mapping, report style, false-conflict handling, and safety boundaries into system behavior.