Daniel Cárdenas
I design and ship end-to-end systems—from STM32 firmware and edge data capture to Go/Python backends and multilingual RAG experiences.
RAG systems, FastAPI and Go services, observability-first data platforms.
STM32 + RTOS, device tooling, telemetry pipelines from edge to cloud.
PWAs, Next.js frontends, DevOps with Docker, Terraform, and observability.
Flagship case studies spanning the device, backend, and AI stack.
An interactive Python application for generating and visualizing 2D and 3D B-Spline curves using De Boor's algorithm and least-squares approximation.
Local-first RAG with pgvector HNSW, BGE-M3, multilingual evals.
Go + Vue stack delivering AI-assisted portfolio intelligence.
I ship embedded tools, data platforms, and intelligent UIs that play nicely together. Let’s talk about the next mission—RAG, device telemetry, or edge analytics.