Applied AI / Multimodal ML Engineer focused on retrieval systems, vector search, search evaluation, product discovery, and production AI systems.
I build systems that connect embeddings, semantic and hybrid search, multimodal retrieval, evaluation frameworks, APIs, and real-world product workflows.
- Multimodal retrieval and visual search
- Semantic search, vector search, and hybrid retrieval
- Search relevance evaluation and ranking assessment
- Product discovery and marketplace AI
- RAG-oriented retrieval infrastructure
- Production AI APIs and evaluation systems
Python · PyTorch · Hugging Face · LangChain · Sentence Transformers · FastAPI · Weaviate · Elasticsearch · MongoDB · Docker · React · Streamlit
LinkedIn: salem-messoud


