About me

I am an AI Engineer and Researcher specializing in Causal Machine Learning and Agentic Systems. Currently, I serve as a Data Scientist at Otrafy, where I engineer autonomous compliance agents and early-warning risk systems using PyTorch and CrewAI.

Concurrently, I am advancing my MSc in Mathematical Modeling at the Getulio Vargas Foundation (FGV EMAp), supported by a full merit scholarship. At the Paccanaro Lab, my research focuses on Graph Neural Networks (GNNs) for biomedical applications, specifically developing explainable models for drug side-effect prediction.

Previously, I spent two years at AtlasIntel, where I led the automation of large-scale data mining pipelines. My work on predictive model calibration contributed to the firm achieving the #1 global forecast accuracy ranking (FiveThirtyEight) during the 2024 electoral cycles in Brazil and the USA.

My technical philosophy centers on the intersection of Statistical Inference and MLOps. I advocate for rigorous, production-grade engineering, leveraging tools like Docker, FastAPI, and Azure to deploy robust models that solve complex problems in biochemistry and supply chain logistics.

I am open to collaborations regarding Agentic AI, Causal Inference, and Bioinformatics. Please refer to my attached CV or the contact section below for professional inquiries.

Executive Summary

Profile Highlights:

  • AI Engineer: Specializing in production-grade Agentic Systems & Causal ML.
  • Top-Ranked Forecaster: Achieved #1 global accuracy (FiveThirtyEight, 2024).
  • Researcher: Developing GNNs for Drug Discovery at Paccanaro Lab.
  • Global Background: Experience in Brazil, USA, and France (Sorbonne Université).

Technical Focus:

  • • Causal Machine Learning & Counterfactual Analysis
  • • Autonomous Multi-Agent Systems (CrewAI)
  • • Graph Neural Networks (GNNs)
  • • Bayesian Modeling & Stochastic Optimization

Technological Toolbelt

Programming Languages



Machine Learning and Big Data



MLOps



Data Exploration and Visualization


Language Proficiency

  • Portuguese
    Native
  • Spanish
    Native
  • English
    Proficient (Cambridge CAE - C1)
  • French
    Independent (DELF B2)
  • Mandarin
    Elementary

Resume

Error loading PDF plugin.Download the PDF file here.



Education

  1. Data Science and Artificial Intelligence (BSc)

    Getulio Vargas Foundation
    2022 — 2025
  2. Chemical Technician

    Sul-rio-grandense Federal Institute
    2016 — 2021

Experience

  1. Data Science Intern

    AtlasIntel
    2023 — 2025

    Demographic data mining; predictive model calibration; data cleaning and data analysis.

  2. Scientific Initiation and Master's Program Scholarship

    Getulio Vargas Foundation - Capes
    2022 — 2024

    Participation in subjects from the Master's Program in Applied Mathematics.

  3. Scientific Initiation Scholarship

    Sul-rio-grandense Federal Institute
    2019 — 2021

    Work as a research collaborator in the Laboratory of Environmental Contaminants Analysis (LACA).

  4. Voluntary Research Collaborator

    Sul-rio-grandense Federal Institute
    2018 — 2019

    Work as a research collaborator in the Laboratory of Environmental Contaminants Analysis (LACA).

Publications

  1. Evaluation of the destination of biological sludge in strawberry cultivation with tebuconazole applications

    Ibero-American Environmental Sciences Journal
    2021

    Strawberry cultivation is characterized by the indiscriminate use of pesticides, which can cause not only food contamination, but also the accumulation of waste in the environment and in man. Techniques that minimize residual concentrations in the products and environment are desired. The objective of this study was to evaluate the use of biological sludge in strawberry cultivation, its potential for degradation of the fungicide tebuconazole (TEB) in the soil, its influence on residual concentrations and its microbial activity in the soil.

  2. Coal generation by copyrolysis: effects of temperature, N2 flow and sludge percentage

    Ibero-American Environmental Sciences Journal
    2020

    Copyrolysis (CP) is the cleavage of more than one biomass by heat in the absence of oxygen, which yields liquid, solid, and gas products. Coal constitution depends on copyrolysis conditions and on the process adopted. The combined effect of temperature, nitrogen flow, and percent composition of treated industrial effluent sludge from a rice processing plant (TIESRPP) with rice hulls (RH) for coal generation through CP was studied.

  3. Analytical method optimization for study of difenoconazole degradation in substrate with addiction of treated activated domestic sewage sludge

    Ibero-American Environmental Sciences Journal
    2020

    Pesticide degradation in soils can be evaluated as a possible solution to minimize the effects of toxic action using recalcitrant compounds on cultivated food and the environment in which it occurs. A common and sustainable alternative is the use of treated sewage activated domestic sludge (TSS) as an adjuvant in soils. The objective of this work was to evaluate the influence of TSS on the degradation profile of a pesticide in the soil. Based on the hypothesis that the use of TSS in soils may influence pesticide degradation, a lab-to-field approach was implemented to determine toxic analyte decay using diphenoconazole (DFC), a triazole class fungicide.

  4. Analysis of trace metals in domestic and industrial sewage sludges

    Ibero-American Environmental Sciences Journal
    2019

    The adequate disposal of sewage sludges containing toxic metals still is a challenge. Its application on agriculture has been the most common method around the world and is being considered one of the cheapest ways for disposing this sludge. In that sense, the goal of the current research was to characterize three types of sludge, two coming from industry and one, from domestic sources, through chemical characterizations and determination of the trace metals: lead, chrome, copper, nickel and zinc. These metals were determined by Flame Atomic Absorption Spectrometry.

Portfolio

Under Construction!

Achievements

Awards

  1. 10° Place at the XIX Rio Grande do Sul Virtual Chemistry Olympics

    Brazilian Chemistry Association
    2021
  2. Bronze Medal at the Brazilian Chemistry Olympics

    Brazilian Chemistry Association
    2021
  3. Gold Medal at the V National Sciences Olympics

    Piauí Federal University
    2020
  4. Silver Medal at the 15° Brazilian Public Schools' Olympics

    Pure and Applied Mathematics Institute
    2019
  5. 2° Place at the III Brazilian Knowledge Olympics

    Paraíba State University
    2018
  6. Silver Medal at the I IFSul Regional Mathematics Olympics

    Sul-rio-grandense Federal Institute
    2017
  7. Bronze Medal at the XV Rio Grande do Sul Chemistry Olympics

    Liberato Salzano Vieira da Cunha Foundation
    2016


Acknowledgments

  1. Outstanding Poster at the 11° Technological and Scientific Initiation Journey

    Sul-rio-grandense Federal Institute
    2018