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Crushing code like it's a piñata 🎉💻🔨
🤓
Crushing code like it's a piñata 🎉💻🔨
25 followers · 8 following

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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Quickdraw

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pandego/README.md

Hi, I'm Miguel 👋🏼 and I build AI systems!

I'm a Data Scientist and certified AI Engineer with 10+ years building AI systems for startups and enterprise teams.

  • What I build: LLM applications like copilots, RAG systems, and multi-agent workflows
  • Industries: Automotive, Manufacturing, AgriTech, and MedTech
  • Focus: Production-ready AI systems that work under real-world pressure

Let's connect on LinkedIn or check out some of my work below.

🎯 Recent Case Studies

  • Automated Patent Trend Intelligence with multi-LLM workflow sliced diligence time by ~90% → here
  • On-prem AI chatbot for 300+ employees, keeping data sovereign while cutting onboarding time by ~70% → here
  • AI Agent for SQL-Based Data Retrieval and Exploratory Data Analysis → here
  • Customer Care Automation with multi-Agent workflow → here
  • Plant-wide ergonomics assessment time reduced from 12 months to 3 weeks with 3D pose-estimation → here

🛠️ Tech Stack

My tech stack combines modern AI with production-proven tools:

  • LLMs: OpenAI, Anthropic Claude, Google Gemini, Groq, Qwen
  • AI Agent Orchestration: LangChain, LangGraph, PyDanticAI
  • Vector Database: PostgreSQL (pgvector), Supabase, Pinecone, Qdrant
  • Monitoring & Evals: Custom observability pipelines, LangSmith, LangFuse, Arize Phoenix, GuardrailsAI
  • Data/Infrastructure: Python, Docker, FastAPI, REST, MCP, GitHub Actions, Pydantic, CI/CD, Azure, Databricks
  • Machine Learning: Scikit-learn, Pandas, NumPy, XGBoost, PyCaret, PyTorch/Lightning
  • Specialties: Context Engineering, RAG & Vision-RAG Systems, Multi-Agent Workflows

🧩 OSS Contributor Activity (auto-updated)

Projects contributed to:

Latest merged PRs:

Last updated: 2026-05-10 07:11 UTC

🔐 About Private Work

Most deliverables live inside private repositories, client-controlled GitHub orgs or air-gapped infrastructure covered by NDAs. The public projects you see highlight OSS contributions, reproducible studies, and playgrounds where I battle-test new frameworks before hardening them for secure production rollouts.

🤝 Want to Work Together?

Hire me on Upwork or book a call to discuss your project.

Hire me on Upwork   Book an intro call   Follow on LinkedIn

Pinned Loading

  1. patent-trend-analysis-using-llm patent-trend-analysis-using-llm Public

    End-to-end AI pipeline for classifying, translating, clustering, and summarizing patent filings to surface EV-battery technology trends for IP and innovation teams.

  2. secure-entreprise-ai-assistant secure-entreprise-ai-assistant Public

    Confidential ChatGPT-like assistant with RAG, translation, and secure on-premises deployment for 300+ employees.

  3. ai-powered-ergonomic-assessment-with-3d-skeleton-tracking ai-powered-ergonomic-assessment-with-3d-skeleton-tracking Public

    Automated ergonomic scoring from depth-video, cutting plant-wide studies from 12 months to 3 weeks.

  4. mlflow-postgres-minio mlflow-postgres-minio Public

    Automatic setup and deploy a MLflow server.

    Python 1

  5. mdn-playground mdn-playground Public

    A playground for Mixture Density Networks.

    HTML 5

  6. testimonials testimonials Public

    This repo collects recommendations and feedback from **founders, C-levels, managers, colleagues, and clients** I’ve worked with while building AI systems.