Rio de Janeiro, Brazil

João Ribeiro Medeiros, Ph.D.

Senior AI Engineer · Tech Lead · Data Scientist · LLMs

Building AI systems that detect anomalies at scale, make legacy platforms smarter, and turn organizational knowledge into a compounding asset.

Portrait of João Ribeiro Medeiros

About

I'm a senior AI engineer and data scientist with a background in statistical physics and deep expertise in data engineering. My passion lies in exploring the fusion of software, data and AI to drive innovations that improve human life.

I've held leadership roles in data and ML/AI, including Head of AI, Chief Data Officer and Lead Data Scientist, and I have a track record of translating complex data science into user-friendly software products. I've deployed ML-driven software in heavy industry, oil and gas, advertising, marketing and behavioural research.

I hold a PhD in statistical physics from CBPF, where I investigated fluctuation relations, thermostatistics and turbulent time series, with applications in biology and finance. That work gave me depth in information dynamics and a taste for problems where theory has to meet real data.

I am a believer in the power of creativity to reshape technology, culture, politics and problem solving.

Highlights

Now

Anomaly detection at enterprise scale

At IgniteTech I lead an end-to-end platform that monitors enterprise appliances in real time: supervised and unsupervised ML pipelines feeding agentic systems on distributed AWS architecture, with a cross-functional team from sprint planning to production.

ML pipelinesAgentic AIAWS
Side project

RAGenesis

A retrieval-augmented generation app over five foundational texts, built solo in ten weeks. It introduces Semantic Similarity Networks as a way to make the graph underneath a RAG engine transparent.

RAGMilvusStreamlit
Research

Effective temperatures in athermal systems

PhD in physics from CBPF on non-equilibrium thermodynamics and statistical mechanics, with three peer-reviewed papers on thermostatistics under exotic reservoirs.

Phys. Rev. EJ. Stat. Mech.Physica A

What I work with

  • AI engineering
  • Retrieval-augmented generation
  • LLM integration
  • Agentic systems
  • Model Context Protocol
  • Anomaly detection
  • Production MLOps
  • Distributed ML systems
  • Python
  • AWS (Lambda, CloudFormation, EC2)
  • Data engineering
  • Causal inference
  • Engineering management
  • Product design
  • Statistical physics
  • Knowledge management