Matheus Rodrigues

Experience

• 

  Universidade Federal Rural de Pernambuco

  Jan 2019 - Dec 2019

  Student Researcher

  As a research student at UFRPE, I have worked on NLP projects related to feature extraction from unstructured documents.- NLP: - Created an OCR pipeline. - Developed a text pre-processing pipeline. - Utilized positional algebraic features extracted from document corpora to create an information extraction flow.- MLOps: - Deployed the model on AWS Beanstalk. - Developed a monitoring workflow to track results.

• 

  Mamba Labs

  Mar 2020 - May 2021

  CEO and Data Scientist

  At Mamba Labs (https://mambalabs.com.br/), created through the Covid-19 Challenge - MPLabs, I was one of the founders and a data scientist responsible for implementing Dycovid (https://dycovid.com.br/).- Data Science: - Developed a clustering model to identify high-risk areas for Covid-19 infection. - Created a model to assess the risk of contamination based on contact with Covid-19 infected individuals.- Financial: - Contributed to client acquisition efforts. - Defined project prerequisites. - Created documentation for investment cycle applications. Show less

• 

  FAST - Soluções Tecnológicas

  May 2021 - Oct 2021

  Software Engineer

  At FAST, I worked on integration and maintenance of technologies related to information extraction from unstructured documents.NLP:Developed and improved information extraction technologies for unstructured documents.

• 

  Capgemini

  Oct 2021 - Jun 2022

  NLP Engineer | Digital Solutions Consultant IV

  At Capgemini, I worked on data processing projects at scale with a focus on NLP.NLP:- Created classification models for fraud detection based on document analysis.- Developed data processing pipelines and trained models using Apache Spark.- Generated detailed reports on development and activities performed for clients.

• 

  C6 Bank

  Jun 2022 - Feb 2023

  Data Scientist | Data Analytics

  At C6 Bank, I worked on the implementation and development of conversational agents. Machine learning techniques were used to analyze the quality of models. I was responsible for presenting generated results and aligning future demands.NLP:- Implemented models in Dialogflow CX/ES.- Defined and implemented quality metrics for conversational agent models using Language Models.- Defined and implemented technology development roadmaps aimed at continuous service improvement.Data Visualization:- Created dashboards in Looker Studio for monitoring metrics. Show less

• 

  Letrus

  Mar 2023 - Dec 2024

  At Letrus, I work on NLP projects with a focus on creating artificial intelligence models to enhance literacy.NLP:- Fine-tuning language models for domain-specific adaptation, including BERT, RoBERTa DeBERTa, and other Transformer-based models.- Fine-tuning GPT4o with OpenAI API.- Leveraging Retrieval-Augmented Generation (RAG) techniques for improved model accuracy and relevance.- Advanced prompt engineering using LangChain, with an emphasis on few-shot prompts to optimize GPT and Claude integrations.- Developing and deploying APIs with FastAPI, facilitating seamless access to NLP models in production environments.- Deploying APIs and NLP applications on AWS ECS to ensure scalability and high availability.- Developing topic modeling solutions driven by language models, using techniques like LDA, LSA, BigARTM, Topic2Vec, and BERTopic.- Building and curating specialized corpora for training and refining language models tailored to literacy.- Designing and implementing text processing pipelines for machine learning models (XGBoost, Decision Trees, SVM).Machine Learning:- Developing deep learning models for classification and regression tasks, with a focus on high-performance and scalable solutions.- Implementing comprehensive logging systems for model monitoring and performance tracking in the AWS Cloud.- Training and deploying models using AWS SageMaker, ensuring reliable and scalable model integration.Technical Leadership:- Providing technical support and guidance across teams to ensure successful project outcomes.- Offering one-on-one technical support to the NLP machine learning engineering team for problem-solving and project development.- Developing and executing technological roadmaps that align with organizational strategy and drive innovation in NLP and AI. Show less

  • AI Specialist | NLP

    Oct 2023 - Dec 2024

  • Machine Learning Engineer | NLP

    Mar 2023 - Oct 2023
• 

  Empirical LLC

  Jan 2025 - now

  AI Engineer

  At Empirical LLC, I engineered the backend infrastructure for an enterprise-grade AI-powered interview preparation platform, delivering sophisticated generative AI solutions.Technical implementation:- Architected and implemented end-to-end cloud infrastructure on AWS, utilizing API Gateway, ECS/ECR, and SQS with comprehensive CI/CD pipelines for seamless deployment.- Designed advanced AI orchestration systems leveraging LangChain, LangGraph, and AWS Bedrock, incorporating both HTTP and WebSocket connections for real-time interactive services.- Developed production-ready Retrieval-Augmented Generation (RAG) systems that integrate AWS Bedrock with Supabase vector storage for enhanced knowledge retrieval and contextual understanding.- Created an intelligent chatbot with DynamoDB-powered memory management capable of utilizing multiple web tools including deep research, web search, and RAG for comprehensive information processing.- Built scalable backend services with Python and FastAPI, integrating AWS Bedrock, OpenAI APIs, and Supabase for enterprise-level applications.- Implemented high-performance transcription analysis systems for interview responses, generating actionable insights using custom NLP pipelines.- Contributed to product strategy through comprehensive research and data analysis, creating interactive Streamlit dashboards to visualize key performance metrics. Show less