Daeven Barreto

• Worked primarily as a Node.js developer within the AI team, building and maintaining backend AI services.
• Integrated Large Language Models (LLMs) for multimodal capabilities including text, image, audio, and
video processing.
• Designed and implemented scalable APIs and services using Python, FastApi and SocketIO to support
AI-powered features and real-time interactions which included apps and chatbots.
• Implemented and worked on internal dashboards using React
• Worked on mobile application features using React Native, including backend integration.
• Implemented AI-powered features by integrating external and in-house machine learning services.
• Collaborated with cross-functional teams to deploy and optimize AI-driven functionalities in production systems.

• Working as a fullstack developer with Nextjs at the frontend and Java SpringBoot at the backend for an
ecommerce application.
• Worked with Tailwind, SCSS, ReactQuery and Zustand with Nextjs.
• Implemented several REST APIs using springboot, integrating the frontend with backend.
• Developed a search service for the platform using Elasticsearch.
• Implemented caching with Redis and springboot resulting in enhanced system performance.
• Worked on microservices architecture, optimizing system scalability and performance.

• Worked as a full stack developer extensively using technologies such as ReactJs, NodeJS, Typescript, Mon
goDb, Java SpringBoot.
• Developed a client facing dashboard using ReactJs which used NestJs in the Backend.
• Developed a system which used Nodejs to create cron jobs which were then hosted in IBM cloud.
• Developed a robust campaign management and delivery application using modern development standards
and optimal coding practices improving code maintainability and readability.
• Developed an authorization service, employing Java Spring Boot and Cedar policy language.
• Integrated React components with backend services, leveraging technologies like React Query and Zustand.
• Worked with watsonx and langchain, Rag, GenAI, LLM to create a chatbot (trustbot) for the IBM
privacy portal which involved integration with apis, creating actions/ dialogs, analyse logs using python
scripts etc;
• Revamped and modularized legacy code to adhere to modern development standards and robust software
engineering practices. Adhered to high coding standards, crafting modular and reusable components.
• Wrote Python scripts and Flask REST endpoints for multiple POCs. Well-versed in the CI/CD pipeline and Travis for deployment and tools such as JIRA for project management.