< Sebastian Silva />
Backend developer specialized in geospatial systems and GeoAI. I build production backends in Ruby on Rails and Python — async processing with Sidekiq, advanced PostgreSQL/PostGIS modeling, and Dockerized deployments — and published research applying machine learning to satellite imagery.
Systems designed, latency shaved, workflows automated. Selected engagements.
Backend developer with 2+ years building and scaling web applications in Ruby on Rails and Python, specialized in geospatial systems and GeoAI. I own features end-to-end: data model, API, background jobs (Sidekiq), and deploy. Published researcher in machine learning for satellite remote sensing.
Co-Founder of Scode, a tech outreach project.
Committed to continuous learning and professional advancement.
Focused on building scalable systems and integrating data-driven solutions, applying a robust engineering mindset to automate complex processes and optimize critical infrastructures that deliver real value.
My mission is to bridge solid backend development and emerging GeoAI technologies, driving innovation through efficient, maintainable, and accessible software.
Deep technical case studies — architecture, data pipelines, and interface systems designed for scale.
Automated ETL pipeline on Google Earth Engine processing Sentinel-2 time series (10m). Engineered 40+ features (NDVI, NBR, GLCM texture) and trained a Random Forest classifier with SMOTE + TomekLinks balancing, reaching an F1-score of 0.88 on deforestation detection.
Engineered a high-performance web experience leveraging optimized canvas/DOM timelines. Focused on fluid 60fps interaction patterns, modular component composition, and clean design token scaling.
Designed and deployed a resilient, localized frontend architecture built to scale collaborative digital ecosystems for distributed social ventures and cross-border community organizations.
Available for architecture and engineering engagements. Response under 24h.