Skip to content
You must be logged in to sponsor jlandaa

Become a sponsor to Juan Manuel Landa

@jlandaa

Juan Manuel Landa

jlandaa
Quilmes, Buenos Aires, Argentina

Hi! I'm Juan Manuel. 👋

I build tools, architectures, and automations that bridge hard data engineering with real-world business needs. My goal is to create production-ready boilerplates and solutions that save other engineers and agencies hundreds of development hours.

🛠️ What kind of projects will you find here?

  • AI Systems for Business: Hybrid RAG architectures (LangChain + FAISS) designed for deterministic sales, mitigating traditional AI hallucinations.
  • Predictive Machine Learning: Scoring models (e.g., credit risk using XGBoost) ready to integrate.
  • Data Engineering & BI: Python/SQL automation scripts, ETL pipelines, and dashboard optimization.

💡 Why sponsor me?

Maintaining cloud infrastructure to keep apps awake, covering API costs, and constantly updating code takes time and resources. Your sponsorship allows me to keep these repositories public, up-to-date, and ready for you to implement in your own commercial projects.

Thanks for your support!

@jlandaa

Reach my first 10 sponsors! 🚀 Reaching this milestone will validate my open-source work and give me the boost to keep releasing advanced Data Engineering and AI boilerplates for the community.

Featured work

  1. jlandaa/Sales-AI-Chatbot

    Hybrid sales chatbot using RAG, LangChain, and deterministic logic.

    Python 3
  2. jlandaa/Healthcare-SQL-Reporting

    Healthcare BI analysis and advanced SQL querying on Databricks to optimize hospital efficiency and public health management.

  3. jlandaa/Retail-Price-Scraper

    Web scraper and data analysis for price monitoring and competitive intelligence in retail. Visualizations built in Power BI.

    Python 1
  4. jlandaa/AssetOptimizer-Toolkit

    A Python toolkit for automated visual asset optimization. Features lossless WebP conversion, transparency handling, and smart resizing to meet strict Google Lighthouse performance standards.

    Python
  5. jlandaa/Retail-SQL-Reporting

    BI analysis and complex SQL queries on Databricks for the retail sector.

  6. jlandaa/SmartCredit-ML

    End-to-End Credit Risk Scoring. Features XGBoost, MLOps (Data Drift), SHAP, and NLG Assistant. Deployed via Streamlit & BigQuery.

    Python

Learn more about sponsoring developers and organizations.

Report abuse

0% towards 10 monthly sponsors goal

Be the first to sponsor this goal!

Select a tier

$ a month

You'll receive any rewards listed in the $9 monthly tier. Additionally, a Public Sponsor achievement will be added to your profile.

$9 a month

Select

🥉 Community Supporter

Thank you for supporting my open-source projects!

You will get an official Sponsor badge on your GitHub profile and my eternal gratitude. Your support directly helps me cover cloud infrastructure, API costs, and keep these repositories public and up-to-date.

$49 a month

Select

🥈 Pro Integrator

Ideal for freelancers and small agencies using my boilerplates (like the Web Scrapers or SQL Reporting tools) in production.

  • Priority response on GitHub issues and bug reports.
  • Your name or company logo featured in the SPONSORS.md file of my repositories.
  • My direct support to ensure your implementations run smoothly.

$199 a month

Select

🥇 Enterprise Partner

For companies and startups integrating my AI and ML solutions (like the RAG Hybrid Chatbot or SmartCredit-ML) into their business.

  • Highest priority on bug fixes, feature requests, and Pull Requests.
  • 1-hour monthly video call for architecture review, deployment support, or BI consulting.
  • Prominent logo placement in the main README of my top repositories.