Daniel Cárdenas

Full-Stack Builder: Firmware · Web · AI

I design and ship end-to-end systems—from STM32 firmware and edge data capture to Go/Python backends and multilingual RAG experiences.

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Firmware roots, AI-fueled delivery.

I started by bringing STM32 devices online for energy and IoT companies in Colombia. That edge experience built my obsession for reliability and observability—principles I now carry into AI pipelines, realtime backends, and polished web experiences. Today I help teams connect device data, vector-aware services, and frontends that feel like command centers.

My toolkit spans embedded C, Go/Python services, Postgres/pgvector, and modern Next.js frontends. I enjoy translating ambiguous ideas into measurable outcomes: latency budgets, eval harnesses, KPI dashboards, and sanitized demos recruiters can ship internally.

Currently

Consulting on AI-enabled data tooling, RAG pipelines, and edge monitoring stacks for growth-stage companies.

Focus Areas
  • RAG + eval harnesses with latency budgets.
  • Device telemetry pipelines with OTA safety.
  • Next.js dashboards that surface the right KPIs.
Languages
  • SpanishNative
  • EnglishProfessional
  • PortugueseProfessional
Stack Overview

Embedded

  • STM32
  • FreeRTOS
  • C/C++
  • Zephyr

Backend

  • Go
  • Python
  • FastAPI
  • Postgres
  • Redis

AI

  • RAG
  • LangChain
  • pgvector
  • LLM Eval

Web

  • Next.js
  • Tailwind
  • Supabase
  • Vercel