Experience

Timeline

1. 

   IgniteTech

   Austin, Texas · Remote · Full-time
   Jan 2025 – present

   I build AI systems that detect anomalies at scale, make legacy platforms smarter, and turn organizational knowledge into a compounding asset. I sit at the intersection of machine learning and AI engineering, product development, and technical leadership.

   Senior AI Innovation Specialist – Software Engineering & Project Lead

   Oct 2025 – present

   • Architect an end-to-end anomaly detection platform that monitors enterprise appliances in real time, with supervised and unsupervised ML pipelines feeding agentic systems on distributed AWS architectures.
   • Lead a cross-functional engineering team from sprint planning through production deployment: own technical direction, coordinate across engineering functions, and report to VP-level stakeholders.
   • Develop AI coding assistants that make legacy industrial platforms accessible through natural language, integrating LLMs with domain knowledge bases via RAG pipelines and Model Context Protocol (MCP) servers.
   • Lead knowledge management initiatives that structure institutional expertise into AI-ready frameworks for both human decision-making and AI performance.

   AI Innovation Specialist – Software Engineering

   Jan 2025 – Oct 2025

   • Designed and refined AI systems that optimize software development: accelerate delivery, reduce human error, and raise code quality.
   • Streamlined the development process to shorten time-to-market and elevate the overall quality of software products.
2. 

   Head of Artificial Intelligence

   AI Collaborator, Inc. · Los Angeles · Hybrid
   Sep 2023 – Aug 2024
   • Led AI and data science efforts, managing the internal AI product development team and leading client-facing AI development projects for clients including Meta, LG Ads, GM and a global consumer technology company.
   • Developed thought leadership and the company vision for AIOps, strategy, team growth, and innovative AI offerings.
   • Tech lead for the AI Collaborator platform: an LLM RAG engine backed by a Neo4j knowledge graph.
3. 

   Chief Data Officer

   RIO analytics · Rio de Janeiro
   Jun 2021 – Sep 2023
   • Developed and deployed cloud-based predictive maintenance software, data infrastructure and ETL routines for monitoring large-scale industrial operations.
   • Managed projects and directed a team implementing AI/ML models for anomaly detection, asset health scoring and predictive KPIs for heavy industry (oil and gas, rail, bioenergy, automotive).
   • Stack included AWS Lambda and CloudFormation.
4. 

   PhD Researcher

   Centro Brasileiro de Pesquisas Físicas (CBPF) · Rio de Janeiro
   Sep 2017 – Sep 2023

   Extensive research in effective temperatures defined for generalized Langevin equations, resulting in peer-reviewed publications and the thesis Temperaturas Efetivas em Sistemas Atérmicos Simples. See Research.

5. 

   Back-end Developer

   Virtual Software Ltda. · Rio de Janeiro · Part-time
   Jan 2021 – May 2021

   Developed automated integration tests for financial proof and transaction validation.

6. 

   Lead Data Scientist and Partner

   Camin
   Jul 2018 – Jul 2020

   Developed integrated hardware, software and data science solutions for industrial waste management, in partnership with Ternium.

7. Organization Manager

   Hackcovid19 · Contract
   Mar 2020 – Jun 2020

   Organized a hackathon in collaboration with researchers from CBPF, LNCC and Fiocruz in response to the Covid-19 pandemic. Participants were mentored in developing technological solutions across public health, education, and socioeconomic development.

Skills

• AI engineering
• Software systems engineering
• Retrieval-augmented generation
• Large language models
• Agentic AI systems
• MCP integrations
• Prompt engineering
• Anomaly detection
• Predictive maintenance
• Production MLOps
• Distributed ML systems
• Deep learning (Keras, TensorFlow Lite)
• Causal inference
• Knowledge graphs (Neo4j)
• Data engineering
• Statistics
• Python
• R
• C / C#
• AWS
• AWS Lambda
• AWS CloudFormation
• AIOps
• Engineering management
• Team leadership
• Product design
• Knowledge management
• Physics
• Research