I'm a passionate and skilled developer with a Technological Degree in Systems Analysis and Development from Estácio de Sá University. My expertise lies in building scalable AI solutions, developing applications, and implementing efficient data pipelines. I have a strong foundation in both front-end and back-end development, as well as DevOps practices.
I've worked on a variety of projects, from developing AI-driven tools to building internal systems and applications. I'm experienced in:
- Designing scalable AI architectures and integrating advanced NLP technologies.
- Building chatbots using LangChain and LLMs.
- Developing web applications with React.js, Next.js, and Django.
- Implementing CI/CD and MLOps practices.
- Working with databases like PostgreSQL, MongoDB, and Neo4j.
I'm committed to delivering high-quality solutions and staying up-to-date with the latest technologies in the field.
Applications and Data
Utilities
DevOps
Development Tools
- AI Comment Moderation: Developed an automated system in .NET with OpenAI's GPT-3.5-turbo for real-time detection of inappropriate content.
- AI-Driven Supply Chain Intelligence: Created a Python tool with ReAct prompts and AI agents to evaluate financial and geopolitical risks using OpenAI GPT-3.5 and the Tavily API.
- Web Scraping Product: Led the development of a Web Scraping product leveraging LLMs to extract data from approximately 10,000 Shopify stores.
- AI Solutions Architect - Consultant at yelo (Jan 2025 - Present)
- Designed scalable AI architectures for generative AI solutions
- Integrated advanced NLP with S-BERT
- Planned infrastructure for vector databases
- Aligned architectures with client needs
- Collaborated with technical teams and stakeholders
- Machine Learning Engineer (NLP) - Mid Level at AM53 Smart Solutions (Dec 2024 - Present)
- Built an advanced chatbot using LangChain, GraphRAG, Neo4j AuraDB and LLMs
- Implemented CI/CD and MLOps on Azure
- Used Docker and Docker Compose for isolated environments
- Performed database modeling with Neo4j AuraDB
- Machine Learning Engineer (NLP) at Market Intent (Dec 2023 - Nov 2024)
- Enhanced an LLM Llama 3 model for marketing and sales
- Developed a platform using Express.js and Next.js
- Integrated APIs from Brave and OpenAI
- Utilized GROQ and Mistral for question processing
- Implemented RAG technique
- Applied HCP techniques to reduce response times
- Engineered prompts for AI agents