10/20/2026 updated
100 % available
AI Full Stack Engineer | React, Node, TypeScript, LangChain, RAG & FinTech SaaS Development Expert
Carapicuiba, Brazil
Worldwide
Universidade de São Paulo; Bachelor's degreeRAGChatGPTLangChainJavaScriptNode.jsNext.jsSoftware Testing Automation FrameworkTypeScriptReact.jsPrompt EngineeringGenerative AIFintech
I am an AI Full Stack Engineer specializing in SaaS application development, AI-powered solutions, RAG systems, and FinTech software. I build and integrate scalable web applications using React, Next.js, Node.js, TypeScript, JavaScript, REST APIs, and modern AI technologies.
Full-Stack Web Development
- Frontend development with React, Next.js, JavaScript, and TypeScript
- Backend development with Node.js and REST API architecture
- API integration, database-backed workflows, and third-party services
- Responsive user interfaces, reporting dashboards, and business applications
- Authentication, data validation, error handling, testing, and performance optimization
- Maintainable application architecture and reliable software delivery
AI & Generative AI Development
- OpenAI API and Large Language Model (LLM) integration
- Retrieval-Augmented Generation (RAG) application development
- LangChain-based AI workflows and AI agent development
- AI-powered document processing, intelligent search, and conversational interfaces
- Document chunking, embeddings, vector search, and retrieval pipeline design
- Source-grounded responses and AI output quality evaluation
- AI application performance, response latency, and API cost optimization
FinTech SaaS & Financial Software
- Financial software application development
- Reporting dashboards and transaction-related workflows
- Financial data validation and database integrations
- API integrations, authentication, and access-control implementation
- Backend reliability, error handling, and application maintainability
Technical Expertise
React | Next.js | Node.js | TypeScript | JavaScript | REST APIs | OpenAI API | LangChain | Retrieval-Augmented Generation (RAG) | LLM Integration | Generative AI | AI Agents | AI Application Development | Full-Stack Development | SaaS Development | API Integration | FinTech Software | Database Integration | Software Testing | Performance Optimization
Professional Background & Certifications
My professional background includes full-stack software engineering roles at Treasury Prime, Finix, and Celero, with experience spanning web application development, financial workflows, API integrations, and AI application development.
Certifications:
- AWS Certified AI Practitioner
- IBM RAG and Agentic AI Professional Certificate
- IBM Full Stack Software Developer Professional Certificate
I focus on translating business requirements into practical technical solutions, with an emphasis on clean architecture, secure data handling, maintainable code, and reliable integrations. I use structured development milestones and testing criteria to help ensure that delivered features meet project requirements and support long-term product growth.
Experience
Professional experience5 - 10 years
Freelancer since2017
Languages
EnglishNative speaker
Project history
Developed and maintained full-stack financial software features using React, TypeScript, Node.js, and REST APIs. Implemented frontend components, backend services, data validation, authentication, and access controls for sensitive business workflows. Built API integrations and database operations supporting reporting and transaction-related functionality. Improved application performance, maintainability, and reliability through testing, debugging, and code optimization. Collaborated with product and engineering teams to deliver features based on business requirements and defined acceptance criteria.
Developed full-stack web applications using React, Next.js, TypeScript, and Node.js. Integrated large language model APIs into application workflows and worked on AI-powered search, document processing, and conversational interfaces. Applied retrieval-augmented generation (RAG) concepts to support document-based retrieval and context-aware responses where appropriate. Built backend endpoints and database integrations, evaluated AI output quality using defined test cases, and improved application reliability through debugging and testing. Collaborated with distributed teams to deliver product features and maintain technical documentation.
Built web application features using React, JavaScript, TypeScript, and Node.js for business software and financial workflows. Developed REST APIs and database integrations connecting frontend applications with backend services. Improved API performance and database query efficiency through targeted optimization. Implemented input validation, error handling, and automated tests to improve application quality and reliability. Worked with product and QA teams to translate requirements into maintainable software features and deliver releases aligned with project objectives.