Samuel Carvalho
@samuelcarvalho
I build private, production-ready GenAI systems for RAG, multimodal search, and evaluation.
PortugalWhat I'm looking for
At Fashable, I built the backend and Azure infrastructure for multimodal product search, enabling text- and photo-based retrieval with Cosmos DB, Azure AI Search, and Azure OpenAI. I also delivered the backend MVP demonstrated at NRF 2024 in New York in under three weeks.
I'm focused on private, production-ready GenAI systems, from local multilingual RAG over Swiss federal law to on-premise AI platforms with pgvector, QLoRA fine-tuning, and Langfuse/MLflow observability. I also deliver client-facing applications across API design, backend implementation, and product integration using NestJS and Next.js.
Experience
Work history, roles, and key accomplishments
AI Engineer
Private AI
Focused on private, production-ready GenAI systems including RAG, multimodal search, and evaluation.
Education
Degrees, certifications, and relevant coursework
Polytechnic of Porto
Bachelor of Science, Computer Engineering
2024 -
Pursuing a Bachelor of Science in Computer Engineering, expected to graduate in July 2027.
Polytechnic of Porto
CTeSP, Web and Mobile Development
2022 - 2024
Grade: 16/20
Completed a Higher Professional Technical Course in Web and Mobile Development with a final grade of 16/20.
Availability
Location
PortugalAuthorized to work in
SwitzerlandWebsite
samuel-carvalho.comJob categories
Skills
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