• Reduced incident triage latency by 5–10 minutes per ticket for the Customer Support team, protecting SLA commitments with enterprise clients such as Ipiranga and Seara, by automating the full routing pipeline in n8n to ingest OTRS tickets, extract client context, trigger real-time Discord alerts, and auto-generate Kanban cards.
• Saved 3 hours/week in manual audits and prevented escalation delays by building an automated governance bot (n8n) that sweeps customer tickets, applying a multi-level prioritization matrix (severity, SLA status, and age) to instantly flag requests unanswered for 7+ days directly to account managers on Discord.
• Improved planning under uncertainty across business units by replacing subjective deadline-risk discussions with probabilistic completion scenarios, by developing and running a Monte Carlo forecasting engine with automated data ingestion and standardized management reporting.

Aprix is a SaaS company providing AI-driven pricing solutions for major industries in Latin America. Our technology helps large-scale businesses optimize pricing strategies and operational efficiency through scalable data products.

• Led research and proof-of-concept in Amazon EU Supply Chain (middle-mile) to improve short-term labor planning guardrails for Sort Centers over 24-hour and 48-hour horizons.
• Designed and validated predictive approaches under temporal dependencies, censored outcomes, class imbalance, and site-specific behavior using SQL-based data extraction and Python feature engineering.
• Built and evaluated ML pipelines in AWS SageMaker Studio against operational heuristics and observed a 27.4% uplift over baseline for same-day forecasting across 10 UK Sort Centers.
• Partnered with BI, Science, and Operations stakeholders through recurring technical and business reviews to translate model behavior into production-readiness trade-offs.

• Awarded a research scholarship from Brazil's National Council for Scientific and Technological Development (CNPq), supported by BIOS (Brazilian Institute of Data Science).
• Conducted research on interpreting machine learning predictions for diagnosing SARS-CoV-2 from symptoms, using SHAP and LIME methods.
• Link to the project

• Eliminated software crashes during large-dataset imports by engineering token-based batch processing of 50,000 rows per chunk, integrating SQL connections with C++ simulation logic.
• Conducted an analysis of no-code machine learning frameworks, identified RapidMiner as the best viable option due to usability and feature set, and upskilled the engineering team with a case study on steel-industry energy consumption prediction using Random Forest classifiers.

FlexSim Brasil is a highly specialized tech consultancy leveraging advanced Digital Twin and 3D simulation platforms to optimize complex, large-scale industrial and logistics operations.

• Eliminated manual triage bottlenecks and improved fault-detection precision to 73% by replacing an unmaintainable, rule-based system with an end-to-end Machine Learning pipeline for battery telemetry anomaly detection.
• Expanded domain experts’ diagnostic criteria with data-backed insights, leveraging Explainable AI (SHAP values) to translate complex, hidden telemetry patterns into stable, production-ready predictive signals.

Instituto de Pesquisas Eldorado is one of Latin America's premier R&D institutes (1,600+ engineers), partnering with global tech leaders such as Motorola to develop software, AI, and Industry 4.0 solutions.

State University of Campinas - UNICAMP

Bachelor's degree, Industrial Engineering - March 2020 - December 2026

• UNICAMP is one of Brazil's leading public research universities and a major center for science and innovation. In the QS Latin America and Caribbean 2026 ranking, UNICAMP is 3rd in Latin America.
• Activities and societies: Physics Instructor at Cursinho Pre-Vestibular Colmeia (6h/week) and Teaching Assistant (300+ hours in Calculus I, Linear Algebra, Analytic Geometry, and General Physics I).
• Relevant coursework: Algorithms and Computer Programming, Statistics and Probability, Numerical Methods, Operations Research I and II, Multicriteria Decision Support Methods, Machine Learning, Systems Simulation, Economic Engineering, Quality Engineering, and Project Management.