Barcelona, Spain — open to new engagements

Applied AI Engineer
& Senior Full-Stack Developer

$

Daniel Scheidemantel Camargo. Eight years designing, shipping and operating scalable, high-traffic systems on AWS and GCP — production LLM-agnostic agent platforms, cloud-native modernisation, and the data pipelines underneath them.

8+Years shipping production systems
13Peer-reviewed publications
40%Cloud cost removed at scale
25%API latency reduced
01 — Featured project

Capellaris

AI agent management platform

02 — Portfolio

Selected work

01

Capellaris

Your company with dedicated and trainable AI employees. Multi-tenant agent platform on FastAPI, React and GCP, with a pilot enterprise customer live in production.

PythonFastAPIReactpgvectorGCP
02

GreenHop

Open source energy consumption and environmental monitoring for data center infrastructure, built on low-cost hardware and published across nine papers.

IoTArduinoRaspberry PiPythonPUE
03

CHAVE

Consolidation and High Availability on Virtualized Environments — reducing energy consumption in cloud infrastructure while keeping services available.

OpenStackVirtualisationEnergy efficiencyResearch
04

More on GitHub

Open source projects, experiments and contributions.

03 — Research

Selected publications

Google Scholar

  • GreenHop: Open source PUE continuous monitoring for small and medium data centers

    IEEE-CLEIXLII Latin American Computing Conference2016

  • MeHarCEn: A Method of Harmonizing Energy Consumption in Data Centers

    RITARevista de Informática Teórica e Aplicada2017

  • CHAVE: Consolidation with High Availability on Virtualized Environments

    Master’s dissertationUDESC2018

04

Book a call

Free · no commitment

Let’s scope your problem in 30 minutes.

Bring an architecture you want reviewed, an AI use case you are unsure how to productionise, or a legacy platform that needs modernising. You leave with a concrete opinion either way.

  • Architecture and cloud cost review (AWS · GCP)
  • LLM / agent platform feasibility and scoping
  • Legacy microservice and data pipeline modernisation
  • Held in English, Portuguese or Spanish — CET timezone

30 min

Pick a slot

tidycal.com

05 — Contact

Get in touch

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