Sistema Fibra

Software Engineer

• Conduct a systematic review on RAG, LLMs, and semantic governance
• Conduct benchmarking of enterprise and market solutions for DataOps automation
• Develop embeddings engineering, chunking, and indexing techniques
• Build and validate the vector database and retrieval mechanisms
• Implement a RAG baseline, evaluating top-k, accuracy, and latency
• Expected outcome: functional vector DB, RAG baseline meeting minimum metrics, and complete technical documentation.

Master's Fellow – Knowledge Engineering, RAG

• Conduct systematic literature review on RAG, LLMs, and semantic governance
• Perform benchmarking of corporate and market solutions for DataOps automation
• Develop embeddings engineering, chunking, and indexing techniques
• Build and validate the vector database and retrieval mechanisms
• Implement a RAG baseline, evaluating top-k, accuracy and latency

Master's Scholar – Knowledge Engineering, RAG

Full-stack Engineer

• Arquitetura multiagentes para formação de Squad de Dados & Analytics
• Metodologia de validação padronizada para LLMs com tarefas complexas
• Metodologia de desenvolvimento de software com IAs e LLMs
• Impacto do uso de multiagentes de Dados & Analytics na produtividade, estudo de caso na área de investimentos

Bolsista Mestre – Engenharia de Software, IA Generativa, Multiagent, ETL

Data Analyst

• Multi-agent architecture for forming Data & Analytics squads
• Standardized validation methodology for LLMs on complex tasks
• Software development methodology incorporating AI and LLMs
• Impact of Data & Analytics multi-agent systems on productivity

Postdoctoral Fellow – Data Analysis, Statistics, Generative AI, Data Visualization

Blockchain Engineer

• Mapeamento e Redesenho do Processo de Fechamento Contábil
• Integração de Dados Multissetoriais
• Geração de Insights Estratégicos

Bolsista Mestre – Aplicação de IA Generativa, Blockchain, RPA

• Mapping and redesign of the accounting close process
• Multi-sector data integration
• Generation of strategic insights

Master's Research Fellow – Generative AI, Blockchain, RPA

Data Engineer

• Plan and align the project with the Androidization strategy
• Gather and validate functional and technical requirements
• Design the solution architecture and the data model
• Automate ingestion and processing of operational data
• Model and automate refined tables
• Implement monitoring and proactive alerts
• Publish and validate tables in the production environment
• Document the entire technical and functional structure of the platform
• Conduct training sessions and formalize the technical handover

Postdoctoral Fellow, Data Engineering, Pipelines, PySpark

Risk

• Review standards and frameworks (COSO, COBIT, ITIL, PCAOB Standards, etc.) used to provide guidance and ensure the effectiveness of SOx controls, establishing a solid theoretical foundation for the project.
• Create an AI agent to review/define control discipline.
• Map processes, risk hypotheses and current controls, capture key available data and identify alternatives and tools for the necessary adjustments to enable automation.
• Capture available data from the bank's catalog, process and prepare it for analysis, develop scripts and algorithms for automated testing, and validate results with business and support areas.
• Once algorithms are validated, formalize supporting documentation to ensure their traceability and re-performance (audit tracking) in internal tools.
• Identify and validate exceptions detected by the system, distinguishing between false positives and true anomalies.
• Support the definition of action plans to mitigate identified root causes, in collaboration with the responsible teams.

Master's Fellow – Operational Risk, SOx, Automated Testing

• Revisar normas e frameworks utilizados para os controles SOx
• Criação de um agente de IA para revisão de controle
• Mapeamento de processos e controles atuais
• Captura e processamento de dados disponíveis para análise

Bolsista Mestre – Risco Operacional, SOx, Testes automáticos

• Plan and align the project with the Androidization strategy
• Gather and validate functional and technical requirements
• Design the solution architecture and data model
• Automate the ingestion and processing of operational data
• Model and automate refined tables
• Implement monitoring and proactive alerts
• Publish and validate tables in the production environment
• Document the platform's full technical and functional architecture
• Conduct training sessions and formalize the technical handover

PhD Fellow, Data Engineering, Pipelines, PySpark

Backend Engineer

• Solution architecture design
• Development of multi-agent systems using Generative AI in Python
• Integration of services (APIs and SDKs)
• Documentation
• Use of CI/CD tools (GitHub)

Master's Fellow – Machine Learning Agents, Generative AI, Python

• Solution architecture design
• Development of multi-agent systems using Generative AI in Python
• Integration of services (APIs and SDKs)
• Development on public cloud (AWS)
• Use of CI/CD tools (GitHub)
• Documentation

Master's Research Fellow – Machine Learning Agents, Generative AI, Python

• Plan and align the project with the Androidization strategy.
• Gather and validate functional and technical requirements.
• Design the solution architecture and data model.
• Automate the integration and processing of operational data.
• Model and automate refined tables with business rules.
• Implement monitoring and proactive alerts.
• Publish and validate tables in the production environment.
• Document the entire technical and functional structure of the platform.
• Deliver training and formalize the technical handover.

Doctoral Fellow – Data Engineering, Pipeline, PySpark

• Multi-agent architecture for forming a Data & Analytics squad
• Standardized validation methodology for LLMs on complex tasks
• Methodology for software development with AIs and LLMs
• Impact assessment of using Data & Analytics multi-agent systems on productivity; case study in the investments area

PhD Fellow – Data Analysis, Statistics, Generative AI, Data Visualization

• Multi-agent architecture for forming a Data & Analytics squad
• Standardized validation methodology for LLMs applied to complex tasks
• Software development methodology for working with AIs and LLMs
• Impact assessment of using multi-agent Data & Analytics systems on productivity