💻 Computer Engineer | 📊 Geospatial Data Science | ☁️ Cloud & AI Enthusiast
I am a computer engineer specialized in geospatial data, AI, and cloud solutions. I am passionate about combining machine learning, computer vision, GIS, and big data to solve complex challenges.
- 🌍 Processing and analysis of geospatial data (LiDAR, satellite, hyperspectral/multispectral).
- 🧠 Experience in Machine Learning & Deep Learning (PyTorch, TensorFlow, Scikit-learn).
- 🤖 OCR, computer vision, and web scraping for automated information extraction.
- 🛰️ Automation of geoprocesses in Python, QGIS, and ArcGIS.
- ☁️ Development on Google Cloud Platform: Vertex AI, Kubernetes, BigQuery, Cloud Functions.
- 📑 Automated reporting through APIs and data pipelines.
- 🎓 MSc. Computer Science – Universidad de Concepción (2019–2021)
- 🎓 BSc. Computer Engineering – Universidad de Concepción (2014–2019)
- ☁️ Google Cloud Digital Leader
- 🤖 Google Professional Machine Learning Engineer
- 🌐 Architecting with Google Kubernetes Engine
- 🛠️ SRE and DevOps Engineer with Google Cloud
- 📊 Big Data and Machine Learning Fundamentals
- 🧠 DeepLearning.AI TensorFlow Developer
- 🌍 Spatial Data Science and Applications
- ⚡ High-Performance Computing with Python 3.x
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🔬 R&D Engineer – Forestal Arauco (2021–Present)
Leading projects in AI, cloud computing, and geospatial data, optimizing processes with Python, Docker, GCP, and Vertex AI. -
🔬 R&D Consultant – Forestal Arauco (2019–2021)
Development of computer vision algorithms and automated GIS workflows. -
🌐 Independent Consultant (2019–2020)
Web scraping and automated reporting on immigration news. -
🖥️ Internship – Sistemas Modulares de Computación SpA (2018–2019)
Developed a shift management system with C# and SQL Server.
- 🛰️ Drone Image Volumetric Estimation → Image segmentation recovering 1–3% of harvest volume (~USD 7M).
- 🔄 Data Ingestion Pipelines with Python + Postman.
- 📑 Automated PDF Reporting connected to multiple APIs.
- 🌐 Immigration News Web Scraping → structured datasets for analysis.
- 🏞️ Geoprocess Automation (DEM correction, compression, optimized loading).
- 🌈 Hyperspectral & Multispectral Image Analysis with supervised classification.
- 🌳 LiDAR Data Analysis → understory vegetation metrics.
- ☁️ Cloud-Based Algorithms (Kubernetes + Argo).
- 🌐 GitHub: @DanielOrtegaCar
- 💼 LinkedIn: Daniel Ortega
- ✉️ Email: [email protected]
⭐️ Always open to collaborating on projects related to AI, geospatial data, and cloud solutions.