Bridging advanced algorithmic problem-solving with scalable system architecture.
- 🎓 Currently pursuing a Double Degree between CentraleSupélec (France) and the Federal University of Rio Grande do Sul - UFRGS (Brazil).
- 🧠 Core Focus: Predictive Modeling (ML), Full-Stack Enterprise Development, and Low-Level Systems (C/C++ & Real-Time Logic).
- 🏆 Recent Highlight: Top 10 Finalist at the Airbus & IBM Hackathon (Predictive Maintenance ML Pipeline).
- 🌍 Based in Gif-sur-Yvette, France. Fluent in English, French, and Portuguese.
- 📫 How to reach me: pedro.lubaszewski.lima@gmail.com
| Project | Description | Tech Stack |
|---|---|---|
| Predictive Maintenance | Developed an ML pipeline predicting aircraft corrosion risk based on environmental exposure (Airbus & IBM Hackathon — Top 10 Finalist). | Python, XGBoost, Scikit-Learn |
| UK Energy Forecasting | End-to-end ML pipeline to forecast UK household electricity consumption. Achieved validation RMSE of 0.0082 over 4,000+ rows. | Python, XGBoost, AutoGluon |
| Voice CRM Platform | AI-powered automation utilizing GCP Speech-to-Text V2 and Vertex AI Gemini to autonomously trigger HubSpot APIs. | Flask, React, GCP, Gemini |
| HiDrone Web Marketplace | Highly scalable, full-stack drone delivery marketplace implementing a strict MVC design pattern and Role-Based Access Control. | Next.js, Prisma, TypeScript |
| 3D Tower Defense Engine | Real-time strategy game processing ~10,000 faces with Gouraud/Blinn-Phong lighting and dynamic Bezier curve pathfinding. | C++, OpenGL, Real-Time Logic |
Always eager to tackle complex algorithmic challenges and build scalable architectures. Explore more on my portfolio.