Building production AI systems that combine backend engineering, document intelligence, agentic workflows and scalable cloud infrastructure.
I'm a Backend & AI Engineer with 3+ years of experience building scalable backend platforms and 2+ years developing production AI applications.
My work focuses on building reliable AI systems that solve real business problems rather than prototypes.
I enjoy designing:
- 🤖 AI Agents
- 📄 Document Intelligence Platforms
- 🧠 Retrieval-Augmented Generation (RAG)
- ⚡ Production Backend APIs
- ☁️ Cloud-native Architectures
- 🔍 Semantic Search & Recommendation Systems
Most of my professional work has been developed for commercial clients and is proprietary, therefore it cannot be shared publicly.
This GitHub contains academic, personal and open-source projects that represent my engineering approach.
- Production AI Systems
- Claude & OpenAI APIs
- Agentic Orchestration
- RAG Optimization
- Backend Architecture
- Django & FastAPI
- Kubernetes & AWS
🔹 Production AI Agents
Building end-to-end AI agents with Claude and OpenAI APIs for workflow automation and business operations.
🔹 Retrieval-Augmented Generation (RAG)
Designing retrieval pipelines over large collections of unstructured documents using vector databases and semantic search.
🔹 Backend Platforms
Developing scalable multi-tenant SaaS platforms with Django REST Framework and FastAPI.
🔹 Machine Learning Research
Lead author of Springer-indexed research in Medical AI and Computer Vision.
B.Sc. Systems Engineering
Universidad del Valle
🏅 GPA 4.77 / 5.00
🏅 Top 5% of the cohort
🏅 Laureate Thesis
