Matheus Rodrigues

Built an enterprise-grade AI interview preparation platform with real-time LLM agents and RAG pipelines, delivering scalable APIs and CI/CD infrastructure that improved contextual accuracy and system reliability.

Led NLP initiatives for Brazilian Portuguese education models, fine-tuning transformer models and deploying scalable FastAPI services while providing technical leadership and mentorship.

Built deep learning classification and regression models, implemented monitoring pipelines on AWS, and deployed ML solutions on Amazon SageMaker to improve model reliability and observability.

Built conversational AI agents with Dialogflow CX/ES and developed Looker Studio dashboards and model quality metrics to improve customer support efficiency and data-driven decision making.

Developed fraud detection classifiers from unstructured documents and designed large-scale Apache Spark text processing pipelines, delivering actionable client insights and improved detection accuracy.

Integrated document information extraction solutions using NLP/ML, improving extraction accuracy and streamlining data processing workflows for enterprise clients.

Co-founded Mamba Labs and built Dycovid, developing clustering and contact-tracing risk models to identify high-risk regions and support public health decision making.

Developed an OCR pipeline and text preprocessing framework to produce NLP-ready data and deployed solutions on AWS Elastic Beanstalk to ensure scalability.

Pursuing a Master of Science in Computer Science with research and coursework focused on NLP and machine learning applications.

Completed a Bachelor in Information Systems with projects in OCR, text preprocessing, and applied NLP for production deployments.