Building software, automating business processes, and turning data into useful solutions.
📍 Panama · 🌐 Open to exchanging ideas and collaborating on technology projects
I'm an Information Systems Engineer with a practical focus on software development, database systems, enterprise integrations, business intelligence, and IT infrastructure.
I enjoy connecting different technologies to solve real problems: integrating ERP data with applications and reports, designing SQL queries and automated workflows, building APIs, working with Linux and containerized environments, and exploring how AI can improve business processes.
- Enterprise systems: SAP Business One, SAP HANA, Service Layer, REST/OData integrations.
- Data and analytics: SQL, data extraction and transformation, reporting automation, Python, and Power BI.
- Software engineering: Python, Go, C#, Flutter/Dart, Android/Kotlin, API development, and application architecture.
- Infrastructure: Linux, Docker, AWS, networking, server administration, and troubleshooting.
- Current interests: AI agents, local LLMs, MCP-based tools, ERP analytics, MVVM, and Clean Architecture.
Also familiar with: T-SQL, HANA SQL, stored procedures, SQL Server linked servers, data modeling, ETL workflows, ERP document flows, and automated Excel reporting.
Infrastructure topics: AWS EC2, Docker deployments, Windows/Linux administration, TCP/IP, VPNs, routing and switching, wireless networks, and network security technologies (Cisco, Aruba, Fortinet, and UniFi).
- ERP and system integration: querying SAP Business One/HANA and integrating ERP workflows through the Service Layer and APIs.
- Data automation and BI: preparing sales, purchasing, and inventory datasets; developing SQL reports, Python processing scripts, and Power BI analytics.
- Backend development: building and experimenting with HTTP services and APIs, including Go with Gin.
- Cross-platform apps: working with Flutter apps across Android, web, and desktop environments.
- Infrastructure and operations: configuring Docker Compose stacks, Linux servers, AWS resources, and operational monitoring.
- Technical troubleshooting: investigating database performance, connectivity, API errors, and enterprise network issues.
I'm actively exploring AI-assisted development, local language models (including Qwen and Gemma), agent workflows, MCP integrations, and AI-powered analysis of ERP data. I'm also improving my knowledge of Kotlin, MVVM, Clean Architecture, modern application design, and Microsoft Graph/Entra ID integrations.
A few examples from my public GitHub work:
- Docker — Dockerfiles and Docker Compose examples.
- numerical_methods — numerical methods with Python and Jupyter notebooks.
- EDO — numerical solutions to ordinary differential equations.
- nvim-config-base — Neovim configuration.
- cpp — C++ examples.
Interested in data engineering, developer tools, ERP integrations, cloud infrastructure, and practical AI applications.

