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mylovelycodes/README.md

I build production AI systems across very different domains — investment research, financial document extraction, ad operations. They share one engineering pattern: typed tool boundaries between model reasoning and any action with consequences, evidence-anchored outputs, human-in-the-loop on anything irreversible, full audit trail.

The model is allowed to be wrong. The system is not allowed to be confidently wrong.

Live: hkfilings.app · hecang.app · asapilot.com

Available to embed with a team taking AI from demo to production — Forward-Deployed / Applied AI Engineer. (LinkedIn)

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  1. LiteRTLM-Swift LiteRTLM-Swift Public

    Swift package for running LiteRT-LM models on iOS. Wraps Google's C API in a clean, async/await Swift interface.

    Swift 41 21

  2. hkfilings-python hkfilings-python Public

    Python SDK for parsing HKEX annual & interim report PDFs into source-traced financial facts, industry signals and supply-chain graphs. Free tier · MIT · Hong Kong stocks.

    Python 1