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Turning complex/messy systems into simple and scalable solutions
⚫
Turning complex/messy systems into simple and scalable solutions
8 followers · 1 following
  • Near the Pacific Ocean

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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jocerfranquiz/README.md

Currently working with

  • RAG, Knowledge Graphs, Agentic Systems
  • Low-level Language Models
  • Databricks, Python
  • Relational/NoSQL/Graph databases
  • Data platforms for AI

Learning more about

  • Low-level programming
  • Reinforcement Learning
  • Automation

Find me as @jocerfranquiz on Twitter or /jocerfranquiz on LinkedIn

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    Private semantic searcher. Open-Source and local RAG architecture.100% Python + SQLite

    Python

  2. criba criba Public

    Minimal, fully-local PDF extractor → JSON, Markdown, and images: for RAG, LLM agents, and pipelines.

    Python

  3. cloud-architecture-distilled cloud-architecture-distilled Public

    This reference distills the architecture into fourteen components and sixty-five distinct types, and shows you the canonical equivalents in AWS, Azure, GCP, and the open-source ecosystem.

    HTML

  4. kompile kompile Public

    A minimalist C compiler wrapper with auto-execution

    Shell

  5. infographics infographics Public

    Infographics that helps to understand complex concepts

  6. finetune-ettin-encoder-17m-on-banking77 finetune-ettin-encoder-17m-on-banking77 Public

    Small example of fine tuning ettin-encoder-17m over banking77 dataset on CPU only

    Python