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