I'm a Super Nerd Traveler Tengen Toppa Gurren Lagann Machine Learning Engineer. Currently working with MLOps, personalization pipelines and large-scale ML architectures at Ambev / BEES.

My background blends computer science data science, backend development and some mobile. From building recommendation systems and forecasting models to deploying and monitoring real-time ML solutions in production.

Beyond corporate work, I’m also building side projects under Simbora.

💻 Technical Degree in Computer Science – ETEC Aristóteles Ferreira Solid foundation in programming, networking, and systems analysis, where my journey into tech began.

🧠 B.Sc. in Computer Science (Non-finished) – Federal University of Paraná (UFPR)

🔬 Researcher at CiDAMO (UFPR) Experience with applied machine learning and data-driven projects, exploring real-world use cases for forecasting and pattern recognition.

💸 Professional Abandoner of Billion-Dollar Projects™ Sometimes quitting early is just another form of innovation 🦄

Languages:
🐍 Python • 🧠 SQL • 🧩 TypeScript • ☕ Java • 💻 C / C#

Machine Learning / Data:
PySpark • scikit-learn • TensorFlow • Prophet • MLflow • Delta Lake

MLOps & Cloud:
Azure • Databricks • Docker • CI/CD (Azure DevOps / GitHub Actions) • Feature Store

Web / Backend:
Django • FastAPI • React • REST APIs

Tools & Others:
Poetry / UV • New Relic • Airflow • Git • Postgres • SageMaker (past experience)

• 🧠 Developed and optimized machine learning pipelines focused on recommendation, forecasting, and behavioral modeling.
• ⚙️ Designed and monitored end-to-end ML pipelines with Azure Databricks and MLflow.
• 💬 Contributor to open-source and internal ML observability frameworks.

• Enhancing ML Observability (volumetry, data quality, traceability)
• Improving personalization algorithms across global BEES markets
• SOON launching new products 🚀

“Daleeeee”
— Victor Gabriel