About

Tech lead, senior AI engineer and data scientist with a background in statistical physics and deep expertise in data engineering. I build AI systems that detect anomalies at scale, make legacy platforms smarter through LLMs, and turn organizational knowledge into a compounding asset. Areas of specialization: AI engineering, data science, data engineering, physics.

Experience

1. 2025 – now
   

   Senior AI Innovation Specialist – Software Engineering & Project Lead IgniteTech · Remote (Austin, TX)

   Architect an end-to-end anomaly detection platform monitoring enterprise appliances in real time: supervised and unsupervised ML pipelines feeding agentic systems on distributed AWS architecture. Lead a cross-functional engineering team from sprint planning to production, reporting to VP-level stakeholders. Build AI coding assistants for legacy industrial platforms (RAG pipelines, MCP servers) and lead knowledge-management initiatives that structure institutional expertise into AI-ready frameworks. Joined Jan 2025 as AI Innovation Specialist, designing AI systems that accelerate software development and raise code quality.

2. 2023 – 2024
   

   Head of Artificial Intelligence AI Collaborator, Inc. · Los Angeles (hybrid)

   Led AI and data science, managing the internal AI product team and client-facing AI projects. Developed thought leadership and the vision for AIOps, strategy, team growth and new AI offerings.

3. 2021 – 2023
   

   Chief Data Officer RIO analytics · Rio de Janeiro

   Developed and deployed cloud-based predictive maintenance software, ETL routines for monitoring large industrial operations, and AI/ML models for anomaly detection and asset health scoring.

4. 2021
   

   Back-end Developer VIRTUAL Software · Rio de Janeiro

   Automated integration tests for financial proof and transaction validation.

5. 2018 – 2020
   

   Lead Data Scientist and Partner CAMIN

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

6. 2017 – 2023
   

   PhD Researcher CBPF · Rio de Janeiro

   Effective temperatures for generalized Langevin equations; non-equilibrium thermodynamics and statistical mechanics.

Project highlights

1. 2025 – now
   

   Enterprise anomaly detection platformProject Lead · IgniteTech

   Real-time anomaly detection for enterprise appliances; ML pipelines feeding agentic systems on distributed AWS; cross-functional team leadership through production deployment.

2. 2025
   

   AI coding assistants for legacy platformsTech Lead · IgniteTech

   LLM assistants that expose legacy industrial platforms through natural language, integrating domain knowledge bases via RAG pipelines and Model Context Protocol (MCP) servers.

3. 2025 – now
   

   Organizational knowledge managementLead · IgniteTech

   Architected the continuous-evaluation and activity-metrics layer of a company-wide knowledge initiative that turns team expertise into LLM-ready repositories.

4. 2024
   

   Open LoopCompany Representative · Meta

   Contributed with a large group of technical and non-technical leaders to the 2024 NIST framework update on responsible AI and AI alignment, particularly on red teaming and synthetic data.

5. 2023 – 2024
   

   Causal machine learningTech Lead · Global consumer technology company (NDA)

   Led development of automated software refining the use of causal inference methodologies in marketing analytics.

6. 2024
   

   Survey Insights AssistantSupervisor · Global consumer technology company (NDA)

   Supervised a software tool and data infrastructure that expedite behavioural research data processing and analysis.

7. 2023 – 2024
   

   AI Collaborator software platformTech Lead · AI Collaborator

   Led development of an LLM RAG engine backed by a Neo4j knowledge graph supporting the consultancy business.

8. 2024
   

   Data infrastructure auditTech Lead · LG Ads

   Built a year-long roadmap for data infrastructure, guiding the transition from bare metal to cloud; solved data fragmentation and opened data access to downstream applications.

9. 2023
   

   Alarm management softwareTech Lead · Volvo / Moove

   Prototype providing asset health scores from causal analysis of alarm time series and machine stoppage records.

10. 2022 – 2023
    

    Locomotive integrity managementDeveloper · Rumo / Moove

    ML approaches to predict sensor evolution, identify anomalies and predict failures in locomotives.

11. 2021 – 2022
    

    Fault prediction mechanismTech Lead · Belém Bioenergia

    Fault prediction from feature-importance evolution over performance-driven boiler assets; led the MLOps infrastructure and workflow.

12. 2021 – 2022
    

    Fatigue damage predictionTech Lead · BP

    Led the data science team building Keras neural networks that infer fatigue damage in oil platforms from sensor data.

13. 2021 – 2022
    

    Causal relationship researchTechnical Lead · GM / AI Collaborator

    Evaluated approaches to causal relationship identification in data for high-impact business decisions.

14. 2021
    

    PREMON Phase 3Tech Lead · Repsol

    IoT fatigue-damage tracking device for oil platforms running a local MLP model on TensorFlow Lite.

15. 2024
    

    RAGenesisSolo full-stack developer · ragenesis.com

    RAG platform over five foundational texts, built in ten weeks on Streamlit, Milvus and AWS; introduced Semantic Similarity Networks for RAG transparency.

Publications

1. 2024
   Temperaturas Efetivas em Sistemas Atérmicos SimplesPhD thesis, CBPF · PDF
2. 2024
   Retrieval Augmented Genesis, parts I and II (Holy Texts Semantics Analysis)Medium · links
3. 2021
   Effective temperatures for single particle system under dichotomous noiseJ. Stat. Mech. · doi:10.1088/1742-5468/ac014e
4. 2016
   A large deviation analysis on the near-equivalence between external and internal reservoirsPhysica A · doi:10.1016/j.physa.2016.01.029
5. 2015
   Thermostatistics of a damped bimodal particlePhys. Rev. E 92, 062145 · doi:10.1103/PhysRevE.92.062145