AI/ML Engineer building mission-critical GenAI systems in regulated fintech environments.
- π‘οΈ Designing LLM security middleware β adversarial defense, PII anonymization, prompt lifecycle auditing
- π Cut 85% inference costs by replacing managed services with in-house distilled models
- π Built RTGen (INPI-registered software) β GenAI report generation 39x faster than human baseline
- π M.Sc. Computer Science + B.Sc. Statistics β Federal University of Amazonas
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Banco Cora β Fintech End-to-end security layer for LLM interactions in a regulated banking environment.
95% attack detection Β |Β 96% PII accuracy Β |Β 14 sensitive data types |
Registered Software (INPI) GenAI-powered technical report generation system using RAG architecture.
39x faster than human Β |Β 15% OpEx savings |
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1st Place β Brazilian ML Olympiad 2024 Optimized BERT model that outperformed commercial LLM-based solutions for toxic language detection in PT-BR.
1st place Β |Β Cost-efficient Β |Β Beat commercial LLMs |
Instituto de Pesquisas Eldorado Re-engineered NLP inference pipelines replacing expensive managed services with distilled in-house models.
85% cost reduction Β |Β 92%+ accuracy maintained |
Models: Gemini GPT LLaMA Claude BERT GLiNER Grok
Techniques: Fine-tuning (LoRA/QLoRA) RAG Red Teaming Purple Teaming LLM-as-a-Judge
Methods: Bayesian Inference A/B Testing SHAP Classification Regression Hybrid Filtering
AI Engineer & Solutions Architect 2025 - Present
Security middleware for Generative AI in a highly regulated financial environment
- Designed async processing core for message interception with LLM provider decoupling
- Led Red Teaming strategies and fine-tuning for adversarial attack detection (Jailbreaks/Prompt Injection)
- Built proprietary NER models for real-time anonymization of 14 sensitive data types (LGPD compliance)
- Established Tracing/Logging standards for full prompt lifecycle auditability
Senior Software Analyst 2021 - 2025
AI solutions for global tech players focused on ROI maximization
- Re-engineered NLP pipelines: 85% cost reduction replacing managed services with distilled models (92%+ accuracy)
- Created RTGen (INPI-registered): GenAI report system 39x faster than human, 15% OpEx savings
- Optimized recommendation algorithms (Hybrid Filtering): 3% CTR uplift on end-user engagement
- Structured scalable ETL/ELT pipelines and CI/CD for ML with scientific reproducibility
| Achievement | Year | |
|---|---|---|
| π₯ | 1st Place β Brazilian Machine Learning Olympiad β Toxic language detection, outperforming commercial LLMs with optimized BERT | 2024 |
| π | EldFlash Award β E2E architecture with LLMs for strategic risk metric | 2025 |
| π | Eldorado Excellence Award β LLM automation architecture with high ROI | 2024 |
| π | Registered Software (INPI) β Author of RTGen, AI-powered report generation | 2024 |
| β‘ | EldFlash Award β Tracking and resolution of critical pipeline failure | 2022 |
| π | M.Sc. Computer Science β Federal University of Amazonas | 2021 |
| π | B.Sc. Statistics β Federal University of Amazonas | 2019 |