EBWho am I?

Fortaleza, Ceará, Brazil

✉️ eliabebastosdias01@gmail.com
💼 linkedin.com/in/eliabebastos
📝 ghidorah.com.br

Summary

ML engineer who joins AI and software engineering to put models in production. Currently builds LLM and RAG agents for tax lookup. At UFC, worked on computer vision (YOLO, CNNs) and NLP applied to health. More than four years in backend and cloud (AWS, GCP, Terraform), focused on scalable, reliable ML systems.

Core stack: Python · PyTorch · LLMs · RAG · MLOps · AWS · GCP

Main skills: RAG · PyTorch · Natural language processing (NLP)

Experience

• Software Analyst INov 2025 – Present · Fortaleza, CE
  • AI agent systems with RAG over a legislative base for tax lookup (LLM + vector database)
  • Automated documentation of code repositories
  • Extraction and classification of large volumes of text
  • Development in Java/Angular
• Mid-level fullstack developerAug 2024 – Aug 2025 · Fortaleza, CE
  • Maintenance of an ERP for the Brazilian road network (PHP/Laravel)
  • Banking ERP in PHP/Laravel
  • APIs in hexagonal architecture with a testing policy
  • Financial consolidation API in Node.js over large data volumes
  • Scrum with Azure/Jira
• Junior fullstack developerApr 2022 – Jul 2024 · Fortaleza, CE
  • Maintenance of an ERP/CRM in Node/TypeScript for corporate travel management
  • REST and GraphQL APIs in hexagonal architecture (MySQL, Redis, SQS)
  • Slack integration and notifications for the commercial team
  • Sync of large data volumes with international clients
  • AWS infrastructure with Terraform (EC2, SQS, SNS, Lambda)
  • SQL for complex reports; Docker for microservices
  • Automated handling of PDF and Excel files

Education

• Universidade Federal do Ceará (UFC)Bachelor's, Computer Engineering · Jan 2021 – Jun 2027

  Focus on ML, LLMs and computer vision.

  Activities and groups

  • License-plate detection on video-monitoring cameras (YOLO)
  • Support for diagnosing a chromosomal condition in fetal ultrasound images (CNN/PyTorch)
  • Support for diagnosis from clinical data in unstructured medical records (NLP/LLMs)
  • Exploratory analysis of public data on violence against women (Pandas, visualization)

  Skills: Amazon Web Services · Machine learning