s
saidbouig

Said

@saidbouig
5,0(1)

Search and AI Architect specializing in Elasticsearch Solr RAG and Vector Search

Frankreich
Englisch, Französisch, Arabisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I build and fix search systems handling 10M+ queries per day. 9+ years making search return the RIGHT results. What I do: - Search relevance tuning (BM25, analyzers, hybrid search) - RAG pipeline optimization (chunking, embeddings, reranking) - Elasticsearch, Solr, OpenSearch architecture at scale - Vector search and AI-powered retrieval Built search for platforms with 5M+ monthly users. Relevance engineering at LexisNexis. Multilingual search across FR, EN, DE. I don't build generic chatbots. I fix retrieval quality. Message me before ordering to discuss your challenge.... Mehr lesen

Kompetenzen

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saidbouig
Said
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

SQL- und NoSQL-Abfragen
I will design and build your neo4j graph database and data model
5,0(1)
Ab150 $ / ProjektWeitere Details
Hilfe / Beratung
I will audit and tune your search relevance for elasticsearch or solr
Ab160 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Search Engineer/ Search Relevence & AI

LexisNexis • Freiberufler

Dec 2024 - Present • 1 yr 5 mos

Search Relevance and Ranking I improved search quality and ranking for applications and platforms. Optimization of relevance algorithms including NDCG BM25 scoring and boosting Semantic search vector search and embeddings Hybrid search combining keyword and vector search Multilingual search tuning FR EN DE Tokenization stemming and synonym optimization AI and LLM GPT 5 I built AI powered search and intelligent systems. GPT 5 integration for RAG query rewriting summarization and reranking Intelligent agent microservices for LLM workflows Embedding and reranking pipelines Cross language relevance improvement Backend and Data I developed scalable backend systems and data pipelines. Backend microservices using Scala Python Spring Boot and Micronaut Structured and semi structured data XML and MarkLogic Document indexing in Solr and OpenSearch Data enrichment using business signals and embeddings DevOps and Scalability I built reliable and scalable production systems. CI CD pipelines and automated deployment Docker Kubernetes and AWS infrastructure Monitoring with Kibana and Grafana High performance systems handling millions of queries Innovation and Product Work I helpd teams build better search and AI products. AI features such as autocomplete and smart suggestions Contextual reranking systems Search experience improvement Collaboration with product and data teams

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