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DavideWasTaken/README.md

Hi, I'm Davide 👋

Software Engineering · System Architecture · Enterprise Solutions & AI
Milan, Italy

I design and build custom software for enterprise environments. Most of my current work is on ERP systems, specifically SAP, Microsoft Dynamics 365 Business Central and Dynamics 365 Finance & Operations, where I develop extensions, system integrations and business-specific applications. My approach starts with a clear understanding of the underlying business process, so that each solution integrates cleanly with existing systems and remains maintainable over time. I make extensive use of AI tools to accelerate development, while retaining full ownership of design and code quality.

I started coding at seven and was a huge LEGO fan as a kid. I still love building things, especially hardware projects where software comes to life in the physical world. I also follow finance and investing, and how software and data can support better decisions.

More about me on davide.sh · LinkedIn · Email

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  1. d365fo-mcp-server d365fo-mcp-server Public

    Forked from dynamics365ninja/d365fo-mcp-server

    Exposes MCP tools that prove every method, field, label and form pattern against your real metadata before the AI writes code.

    TypeScript

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    Fast 3D box packing in C: boxes, products, stock, weight limits, rotations and contact support. C library, JSON CLI, PHP and Python facades, MCP server and 3D viewer.

    C

  3. Genio Genio Public

    Hands-free step-by-step coach for Ray-Ban Meta glasses: press the button, say what you are doing, and Genio guides you through it, watching through the camera. iOS, Meta DAT SDK, Gemini Live.

    Swift

  4. StocksScreenerAI StocksScreenerAI Public

    Research screener for potential narrative dislocations in US equities

    Python

  5. llama.cpp llama.cpp Public

    Forked from ggml-org/llama.cpp

    Fork of llama.cpp: hybrid CPU/GPU cache for MoE experts on slow PCIe links, +31% token generation on an 8 GB GPU.

    C++

  6. llama2.cob llama2.cob Public

    Llama 2 in pure COBOL, and a GnuCOBOL finding: COMPUTE and MULTIPLY always go through slow decimal math, while USAGE INDEX makes them native C, about 100x faster

    COBOL