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Samuel Teixeira

@samuelteixeira

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I build Python and FastAPI products, RAG systems, and AI-powered educational platforms.

Portugal

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What I'm looking for

I'm looking to build backend, AI, or full-stack products where I can design reliable APIs, deploy RAG systems, and turn applied research into useful software.

At IEETA, I built and deployed a full-stack educational platform where teachers create course activities and students use an AI assistant grounded in course materials.

I designed the RAG pipeline end to end, from document ingestion and embeddings to vector retrieval, context expansion, and multimodal image-to-text processing. I also built evaluation pipelines with RAGAS that improved Answer Correctness from 0.367 to 0.772 and Answer Relevancy from 0.583 to 0.896 against an LLM-only baseline.

Previously at Instituto de Telecomunicações, I developed C/C++ IoT mobility monitoring on ESP32 and Nordic nRF52840 devices, reducing average current draw by approximately 47%. I also build full-stack products with Python, FastAPI, React, TypeScript, PostgreSQL, and MongoDB.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer / Full Stack Developer

Current

IEETA

Apr 2025 - Present (1 year 5 months)

Designed and deployed a full-stack educational platform using Python, FastAPI, React, TypeScript, and MongoDB, with automated testing using pytest. Built a RAG pipeline and developed automated RAG evaluation pipelines using RAGAS, improving Answer Correctness and Relevancy metrics.

Python fastAPI React TypeScript MongoDB Pytest RAG Ragas Vector Databases Multimodal AI

Education

Degrees, certifications, and relevant coursework

Universidade de Aveiro

Master's, Computers and Telematics Engineering

2024 - 2026

Grade: 16/20

Master's in Computers and Telematics Engineering with a final mark of 16/20. Thesis on RAG-based chatbot to enhance learning, achieving a final mark of 20/20.