Building AI systems with the rigour of a Data Scientist and Statistician.
Based in Campinas (SP), Brazil. Professional experience as Data Scientist and Statistician across consulting, market research, scientific research, and the consumer-goods industry. Now focused on AI engineering — building LLM-powered systems end-to-end, with attention to evaluation, governance, and reproducibility.
| Project | What it does |
|---|---|
| ai-generated-content-evaluator | LLM pipeline that generates technical reports with NotebookLM and auto-evaluates them with the Gemini API across four quality metrics. |
| apertus-ethics-by-design-case-study | Case study mapping the Swiss Apertus LLM to the EU Ethics by Design framework and AI Act, with a quantified compliance/performance trade-off analysis. |
| whisper-transcriber | Self-hosted web app for audio/video transcription on NVIDIA GPUs — SvelteKit + FastAPI + Redis/ARQ + faster-whisper, resumable uploads via tus, real-time progress via SSE, 5 export formats. |
| ai-fluency-ptbr | Brazilian-Portuguese translation of A Framework for AI Fluency (Dakan & Feller), with an interactive SPA companion (Tailwind + Chart.js). Live demo. |
- LLM APIs: OpenAI · Anthropic · Google Gemini · DeepSeek
- Local LLM stacks: Ollama · AnythingLLM · Open WebUI
- AI agents: Hermes Agent (building custom agent profiles on a local server)
- AI-assisted development: Claude Code · Codex (both CLI)
- Languages: Python · R · SQL · LaTeX
- Web & backend: FastAPI · SvelteKit · Docker
- Speech & audio: Whisper · faster-whisper
- Linux & home lab: Debian · Ubuntu · self-hosted services
- 🎓 B.Sc. in Information Technology — UNIVESP, graduating June 2027
- 🔬 PhD-level coursework (special student) at UNICAMP / FEEC: Responsible & Ethical AI (IA364) · Seminars in Computer Engineering (IA382)
- 🎓 M.Sc. in Statistical Modeling — UNICAMP / FEA Multivariate regression with Partial Least Squares (PLSR), applied to Sensory & Consumer Science.
- 🎓 B.Sc. in Statistics — UNICAMP
- Machine Learning Specialization — DeepLearning.AI / Stanford Online (Coursera, 2025) Supervised ML · Advanced Learning Algorithms · Unsupervised Learning, Recommenders & RL
- 5-Day Gen AI Intensive Course — Google × Kaggle (2025)
- Google Data Analytics Professional Certificate — Google / Coursera (2024) SQL · Tableau · R · spreadsheets
- Statistical Learning, with Distinction — Stanford Online (Hastie & Tibshirani, 2020)
- Data Science Specialization — Johns Hopkins University (Coursera, 2017)
📫 [email protected] — open to roles and collaborations in AI Engineering, Applied AI, AI Data Science, AI Data Analytics, and AI Governance.