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Amine RaouaneAR
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Amine Raouane

@amineraouane

AI Engineer at Oracle who cut Oracle Smart Assistant's average response time from 18 to 7 seconds.

Morocco
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At Oracle, I built LangGraph workflows for Oracle Smart Assistant, extending its retrieval pipeline with multimodal ingestion, hybrid search, and Cohere reranking. I also developed a second version of the main chat API that reduced average response time from 18 to 7 seconds.

I developed MCP servers that expose OSA capabilities to AI agents, and implemented LLM observability with OpenTelemetry tracing, token-usage tracking, and request-correlated logs. I also enhanced ground-truth testing with evaluation metrics and LLM-as-a-judge.

Earlier, I implemented software supply-chain analysis heuristics at Oracle, including a typosquatting detector that achieved 93% accuracy on the dataset used in the You Can’t Touch This paper. At Radical AI, I enhanced a Gemini-powered syllabus-generation application and contributed to an AI teaching assistant using LangChain.

Experience

Work history, roles, and key accomplishments

RA

AI Engineer

Radical AI

Jul 2024 - Sep 2024 (2 months)

Enhanced a Gemini-powered syllabus-generation application and built a BeautifulSoup content pipeline. Contributed to an AI teaching assistant using LangChain and open/closed source LLMs.

Education

Degrees, certifications, and relevant coursework

NM

National School of Minery

Master's degree, Computer Science

Grade: 3.75/4.00

Pursuing a Master's degree in Computer Science with a cumulative GPA of 3.75/4.00.

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