李孟奇
From business needs to launch, I build enterprise agents, intelligent capture and automation applications. Practical training and application reviews help teams put AI to work.
I also independently designed, built and released Genyixia for iOS, from product definition and native development to paid features and App Store launch.
I independently build enterprise AI applications and iOS products, and help teams put AI to work through practical training.
An enterprise fulfillment agent powered by a locally deployed large language model. Connect orders, purchasing, warehouse records and follow-ups so support teams can check progress, confirm batches and prepare reply drafts.
A lightweight iOS app for replies, refunds and documents that still need follow-up. I independently designed and built the product, connected its paid features and shipped it on the App Store.
Extract manufacturer lot numbers, manufacture dates and expiry dates, with a standard API connecting recognition, human review and WMS entry.
Bring business systems, specialist knowledge and tools into one place for queries, consultation and follow-up questions.
Turn images, documents, repetitive tasks and scattered records into structured data and executable workflows.
Genyixia demonstrates the full journey from product definition and native development to paid features and App Store release—built independently around a specific need.
From identifying useful tasks to practical training and assessment, help teams build reusable ways of working with AI.
Map users, tasks and system boundaries into clear requirements and a delivery scope.
Turn the scope into prototypes, workflows and data relationships that teams can review.
Build web interfaces and services, AI and business integrations, or native iOS apps with platform capabilities, as the product requires.
Test core flows and exceptions, deploy web products or prepare apps for release, and iterate on user feedback.
AI Product Engineer · Life-science supply chains
Own enterprise AI projects from requirements through release and iteration: fulfillment queries, warehouse label recognition, workflow automation and conversation analysis.
AI Product Engineer · Research services
Led requirements, prototypes, engineering collaboration and iteration for AI Panel, a WeChat mini-program and its operations system, connecting research consultation with recommendations and workflows.
Get in touch about enterprise AI, workflow automation, practical AI training and adoption, or career opportunities. I’m also happy to discuss independent product design and development. Start with your workflow and the outcome you have in mind.
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