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Achievements

Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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@CodeHuntersLab

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jorgektch/README.md

Jorge Jesús Quispe Villaverde

AI Engineer · Generative AI Engineer
Agentic AI · RAG · MCP · LLM Evaluation · Google Cloud

LinkedIn · Email

Retrieve the right context. Use the right tools. Validate the result.

I build AI systems that connect language models, data, and real-world workflows—with an emphasis on software architecture, reproducibility, and evaluation.

Selected work · Explore the code

Focus Evidence
AI Agents + MCP Agent with MCP — Python tool-calling agent, real MCP integration, Gemini/OpenRouter, and offline tests.
Retrieval-Augmented Generation RAG from scratch — document chunking, TF-IDF retrieval, source references, evaluation, and optional LLM generation.
LLM Reliability Reasoning robustness research — adversarial testing with separate attacker, solver, and judge roles.
Machine Learning Fundamentals Neural network from scratch — NumPy MLP, training pipeline, and interactive browser demo.
Developer Experience README to Slides — open-source Markdown-to-presentation engine for technical workshops.

Applied AI · Beyond public repositories

  • Enterprise AI: document embedding and retrieval pipelines with Google Cloud and BigQuery; AI-assisted workflows for software products. Client code is private.
  • Recognition: 2nd place, Kavak × OpenAI Hackathon 2025 — CrAItor, a self-improving multi-agent system for generative advertising.
  • Research & community: AI mentor at 1551 UNMSM · Software Engineering at UNMSM · Academic exchange at UNAM.

Engineering toolkit

Python · LangGraph · Gemini · OpenRouter · RAG · MCP · FastAPI · PostgreSQL · BigQuery · Vertex AI · Cloud Run · Docker · GitHub Actions

Interested in AI Engineer and Generative AI Engineer opportunities in Mexico City (CDMX). For the full story, visit LinkedIn.

Pinned Loading

  1. tu-primera-red-neuronal tu-primera-red-neuronal Public

    Train a neural network from scratch with Python and NumPy, then explore image classification through a live, interactive browser demo.

    JavaScript

  2. tu-primer-agente-de-ia tu-primer-agente-de-ia Public

    Build a tool-calling AI agent in Python with Gemini and OpenRouter, including offline evaluation, guided exercises, and interactive demos.

    JavaScript

  3. tu-primer-servidor-mcp tu-primer-servidor-mcp Public

    Implement a real Model Context Protocol (MCP) server and client in Python, exposing tools, resources, and prompts with reproducible tests.

    JavaScript

  4. tu-primer-agente-de-ia-con-mcp tu-primer-agente-de-ia-con-mcp Public

    Connect a Python AI agent to a real MCP server with Gemini/OpenRouter, tool discovery, contract validation, and offline evaluation.

    JavaScript

  5. tu-primer-sistema-rag tu-primer-sistema-rag Public

    Build a reproducible RAG system in Python with document chunking, TF-IDF retrieval, cited sources, offline evaluation, and optional Gemini generation.

    JavaScript

  6. readme-to-slides readme-to-slides Public template

    Open-source engine that turns GitHub READMEs into interactive technical presentations with Reveal.js, Mermaid diagrams, and GitHub Pages.

    JavaScript 1