I'm a Senior ML Engineer with 7 years in software engineering, including 4+ years specialized in production-grade AI systems.
I build:
- 🎙️ AI pipelines — audio synthesis, TTS, computer vision, end-to-end MLOps
- ☁️ Cloud-native infrastructure — AWS (S3, Lambda, Glue, Athena) and GCP
- 🤖 Agentic AI & RAG systems — LLM orchestration with OpenAI and Gemini APIs
- ⚡ Edge AI deployments — NVIDIA Jetson, TensorRT, ONNX
- 🔌 Backend & APIs — FastAPI, Flask, RESTful design, Docker
💡 Focused on bridging research and production — clean architecture, observability, and real-world impact.
PyTorch · TensorFlow · YOLOv8 · Coqui TTS · TensorRT · ONNX · OpenAI API · Gemini API
AWS S3 · Lambda · Glue · Athena · Parquet · GCP · Docker · PostgreSQL · InfluxDB
FastAPI · Flask · RESTful APIs · CI/CD · Reproducible ML Pipelines · Structured Observability
| Project | Description | Stack |
|---|---|---|
| QuTech / QIG Hackathon 2026 | Hybrid quantum-classical option pricing pipeline for financial derivatives. Temporal feature engineering, photonic quantum circuit (MerLin), config-driven experiment runner, AWS-native data ingestion. | Python · PyTorch · MerLin · FastAPI · AWS · Docker |
| B3 Aviation Data Pipeline | Event-driven cloud-native pipeline: daily ingestion → partitioned Parquet on S3 → Lambda-triggered Glue → Athena-queryable layer. RESTful FastAPI interface with observability logs. | Python · FastAPI · AWS S3/Lambda/Glue/Athena · Docker |
| FIPE AI-Powered Vehicle Platform | Production Flask app integrating FIPE vehicle catalog with Google Gemini for AI-assisted search. Role-based access control, scheduled ingestion, full pytest suite. | Python · Flask · PostgreSQL · Gemini API · SQLAlchemy |
| AI Audio Dubbing Pipeline | End-to-end TTS pipeline delivering 20%+ inference latency reduction per release. Shipped 20,000+ voice lines across multiple languages for global campaigns. | Python · PyTorch · Coqui TTS · GCP |
- 🎓 Completing MBA in ML Engineering at FIAP (Aug 2026)
- 📜 Preparing for AWS Certified Machine Learning Specialty (target: Q2 2026)
- 📜 Preparing for Azure AI Engineer Associate AI-102 (target: Q3 2026)
- 🔬 Exploring hybrid quantum-classical architectures as a complementary research track
