Wanderson Oliveira

Led a legacy project focused on managing Android device samples connected to a remote test farm, enabling engineers to validate and test physical devices remotely without manual intervention. Responsible for gathering client requirements, understanding technical and business needs, and translating them into prioritized tasks. Managed the backlog and delivery schedule, ensuring high-quality results within deadlines. Coordinated task distribution within the development team, maintaining an efficient workflow aligned with project goals. Constantly communicated with clients to adjust roadmaps based on feedback and shifting priorities.

Developed an intelligent AI and NLP-powered chatbot capable of delivering accurate and secure answers based on sensitive Samsung documentation, with a strong emphasis on privacy and data security. Used LangChain and the LLaMA model for advanced document interpretation across multiple query contexts. Implemented Qdrant as a vector database for efficient semantic retrieval, ensuring fast, relevant, and evidence-based responses. Designed custom prompts to provide highly contextual answers with direct document references, improving user experience and accuracy. The system is under ongoing development with enhancements targeting hallucination reduction and improved model reliability. Technologies used include Botpress, Ollama, NLP, LLM, LangChain, Qdrant, FastAPI, Docker, and Python.

Developed automated feature validation solutions embedded within the binary code used in Samsung mobile devices for the Latin American market during the pre-release cycle, significantly reducing validation time from 2–3 days to approximately 10 minutes. Built tools to analyze and validate device binaries before physical deployment, enabling early detection of regressions and functional issues. Collaborated with engineering and technical teams to ensure integrity and compliance of new features before rollout. Technologies used include NextJS, Axios, Material-UI, TypeScript, Styled-Components, Python, Flask API, BeautifulSoup, Docker, and MongoDB.