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Baldros/README.md

Hi 👋, I'm André Amorim and welcome to my GitHub

baldros

Coding

🚀 About Me

Software Engineer and Data Scientist specialized in the intersection of Artificial Intelligence, business automation, and digital transformation. Currently working on modernizing corporate ecosystems and integrating high-performance AI solutions into strategic applications.

My journey combines solid technical expertise in Python, Machine Learning, and Microsoft Power Platform with deep knowledge in environmental data analysis and remote sensing, resulting from academic research at the Laboratory of Environmental Satellite Applications (LASA-UFRJ).

Philosophy: "Labor omnia vincit, per aspera ad astra." — Work conquers all, through hardships to the stars.


💼 Professional Experience

🔧 Current Role

Software and AI Engineering @ Deepmath (Dec 2025 - Present)

  • Architectural modernization of CRM and management systems
  • AI integration in sales and management processes
  • Focus on scalability, performance, and technical sustainability

📚 Previous Roles

  • Power Platform Developer @ S4Sys (Apr 2025 - Nov 2025)
  • Software Engineer @ Deepmath (Jan 2025 - Apr 2025)
  • R&D in Artificial Intelligence @ Deepmath (May 2024 - Dec 2024)
  • Undergraduate Research Fellow @ LASA - UFRJ (Dec 2022 - Apr 2024)

🎓 Education

Bachelor's Degree in Mathematical and Earth Sciences
Universidade Federal do Rio de Janeiro (UFRJ)
Focus: Decision Support Analysis (DSA), Data Science, Remote Sensing


🛠️ Technical Skills

Languages & Frameworks:

python r c html5

AI/ML & Data Science:

pytorch tensorflow scikit_learn pandas seaborn opencv

Databases & Tools:

postgresql mysql flask

Specialized Skills:

  • 🤖 Large Language Models (LLMs) & AI Agents
  • 📊 Power BI & Business Intelligence
  • ☁️ Google Earth Engine & Remote Sensing
  • 🔄 Microsoft Power Platform (Power Automate, Power Apps)
  • 🛰️ Satellite Data Analysis & Atmospheric Monitoring

📫 Connect with Me

linkedin email

📍 Location: Rio de Janeiro, Brazil
✉️ Email: amorim.techconsult@gmail.com


"Through hardships to the stars"

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  1. Sinal-Aberto Sinal-Aberto Public

    Um assistente probabilístico de risco urbano em tempo quase real, baseado em ocorrências armadas recentes, histórico local e sinais de impacto público.

    Python 1