AI Engineer | Data Platform Engineer | PhD Candidate in Computer Vision
I build production-grade AI systems and scalable data platforms that bridge research and real-world impact.
With a background in deep learning, computer vision, and modern data stacks, I turn complex problems into measurable business value.
🎓 PhD Candidate @ Federal University of Uberlândia (Brazil) – deep learning for medical imaging
🔬 Published researcher in computer vision (traffic sign detection, brain tumor MRI analysis)
🧠 4+ years of experience in data engineering, ML pipelines, and full-stack systems
| Area | Technologies |
|---|---|
| Programming & Data | Python, Java, C#, PHP, C, SQL (PostgreSQL, MySQL, SQL Server) |
| AI/ML & Computer Vision | TensorFlow, PyTorch, Keras, OpenCV, LLMs, Image Processing, AutoML |
| Data Engineering | PySpark, ETL/ELT, Data Pipelines, Data Modeling |
| Modern Data Stack | Microsoft Fabric, Lakehouse Architecture, Data Factory, Dataflows Gen2 |
| Orchestration & Pipelines | Apache Airflow, End-to-end ML pipeline deployment |
| Web & APIs | React.js, Next.js, ASP.NET, REST APIs |
| Cloud & DevOps | Azure, Docker, CI/CD, Git, Agile/Scrum |
Data Scientist / AI Engineer @ LLZ Garantidora (2025 – present)
- Designed modern data architecture with Microsoft Fabric (Lakehouse for unified analytics)
- Built scalable PySpark notebooks & data pipelines (Data Factory / Dataflows Gen2)
- Containerized ML systems with Docker + orchestrated workflows via Apache Airflow
- Integrated Power BI with on‑prem/cloud sources via Azure VM & Data Gateway
Developer & AI Engineer @ Cosmetics AI (2025 – present)
- Combined LLMs + computer vision for large‑scale image classification
- Automated data collection & labeling with web scraping (BeautifulSoup, Playwright)
- Delivered scalable APIs and real‑time analytics dashboards
Developer / Data Scientist @ TrendPrix (2023 – present)
- Built full‑stack analytics platforms (React.js, Next.js, Python, PostgreSQL)
- Developed high‑volume ETL pipelines for financial datasets
- Created executive dashboards using Power BI
Freelance Developer & IT Specialist (2018 – 2023)
- Full‑stack systems (ASP.NET, C#, React.js, SQL Server), Azure DevOps CI/CD
- Maintained infrastructure, servers, and IoT systems (Everest Apparel & UEH Rectorate)
- Sign Language Translator App – Real‑time gesture recognition using deep learning
- Traffic Sign Detection System – Published research using SSD‑MobileNet (Journal of the Brazilian Computer Society, 2024)
- PhD Research – Deep learning for brain tumor detection in MRI (UFU, 2023–present)
- PhD in Computer Science (Data Science & Computer Vision) – Federal University of Uberlândia (2023–present)
- MSc in Computer Science (Computer Vision) – Federal University of Uberlândia (2021–2023)
- BSc in Computer Science – UEH, Haiti (2014–2019)
- Microsoft Certified: Azure AI Fundamentals (2024)
- TOEFL ITP (2024)
- French (native)
- English (fluent)
- Portuguese (fluent)
- Spanish (intermediate)
- End‑to‑end ownership of AI systems and data platforms
- Scalable data engineering & ML pipelines from prototype to production
- Bridge across data engineering, AI, and full‑stack development
- Proven delivery in remote and cross‑functional environments
⚡ “From research to production – building intelligence that scales.”