Experience

BTG Pactual S/A

Investment bank with global operations providing solutions for investment banking, asset management and wealth management services.

AI Engineer (February/2025 - Present)

  • Designed and implemented GenAI-based applications for automated document composition and validation, multi-class document classification and programmatic data extraction.
  • Deployed solutions leveraging AWS services including S3, SNS, SQS, ECS, Lambda, DynamoDB and EventBridge.
  • Developed and orchestrated services using LiteLLM, FastAPI, Docker and Kubernetes to support high-availability GenAI workflows.

Robbyson Systems Desenvolvimento de Sistemas S/A

Brazil-based B2B company with a team of 100 employees offering a performance management platform to boost employee engagement and satisfaction.

Data Scientist (May/2024 - January/2025)

  • Contributed to the creation of new AI features for company products.
  • Analyzed data from behavioral projection algorithms to ensure quality and consistency.

Designed and implemented:

  • Document processing MVP for translation, summarization, description and tagging using Langchain, Ollama, Podman, FastAPI and MongoDB.
  • LLM-powered summarization POCs for text, audio and video with Whisper, Gemma and Llama open models.
  • Python package for GitLab data analysis to assessing development costs and developer effectiveness.

Big Data Assessoria Empresarial S/A

B2B AI-focused Brazilian company with 60 employees specializing in recommendation systems for retail companies.

Junior Data Scientist (Oct/2022 - Mar/2024)
  • Orchestrated of ETL workflows and Machine Learning pipelines using Apache Airflow.
  • Developed components of a recommendation system for a leading company in the civil construction sector.
  • Collaborated in codebases using Git with new features, refactoring, maintenance and code review.
  • Designed and implemented a Python QA framewwork in order to automate artifact validation processes.
Data Science Intern (Jan/2022 - Oct/2022)
  • Conducted data analyses on client data and project deliverables presenting key insights to stakeholders.
  • Developed an algorithm to adjust production model predictions based on price elasticity, aligning recommendations with market price changes.

FAPESP - Fundação de Amparo à Pesquisa do Estado de São Paulo

Researcher in Applied Machine Learning (Sep/2020 - Sep/2021)

As a FAPESP-funded researcher, I carried out a scientific project under the supervision of Prof. Renato F. Cantão, applying machine learning techniques in the context of photovoltaic solar energy. My work involved developing and implementing machine learning models to predict solar radiation at various locations throughout the State of São Paulo, Brazil.

Check out the project page for more information.