experience: 5+ years
focus: AI Systems & Backend Engineering
stack: Python-first
specialization:
  - LLM pipelines
  - Retrieval-Augmented Generation
  - Computer Vision
  - Time-series ML
  - Cloud-native APIs

Currently building production AI systems integrating ML models into scalable backend architectures.

Based in Portugal 🇵🇹
Open to Remote & EU Relocation

LLM-driven conversational system with contextual retrieval.

Architecture:

• Next.js + React + TypeScript frontend
• Gemini (Genkit) inference layer
• RAG pipeline with embedding + retrieval workflow
• Firebase real-time data sync
• Context grounding with citation logic

Project: https://botpresidencial.blog

Computer Vision pipeline for sea turtle identification.

Technical highlights:

• YOLOv8 / YOLOv9 training
• Custom drone dataset curation
• Advanced augmentation strategies
• PyTorch training & evaluation pipeline
• mAP50 ≈ 95%

Applied ML for debt prediction & early anomaly detection.

• Prophet forecasting models
• Feature engineering (lags, trend decomposition)
• Backend risk scoring integration
• Automated monitoring pipeline

• LLM orchestration frameworks
• Agent-based systems
• Vector databases & semantic search
• Model serving optimization
• Scalable inference APIs

LinkedIn: https://www.linkedin.com/in/gabriel-est/