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yacine OharaYO
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yacine Ohara

@yacineohara

I build reliable agentic AI systems, RAG pipelines, and automation.

Tunisia
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I built agentic AI systems at White Cape Technologies that let engineering and product teams query knowledge, analyze UX, and act on AI-generated insights.

For White Cape's Agentic RAG Knowledge Assistant, I architected a 9-node LangGraph workflow with role-aware retrieval, local inference, cited answers streamed over SSE, faithfulness checks, semantic caching, and 385 contract-driven tests.

I also built a UX analysis platform combining computer vision, OCR, telemetry, RAG, and provider-agnostic LLM routing to turn screenshots into actionable findings and consultant-level reports.

Across personal projects, I build resilient multi-agent, video-production, image-vectorization, and natural-language-to-SQL pipelines with resumability, verification, access control, and automation designed to work beyond a demo.

Experience

Work history, roles, and key accomplishments

WT

AI & Automation Intern

White Cape Technologies

Jun 2026 - Aug 2026 (2 months)

Built an internal AI assistant, Agentic RAG Knowledge Assistant, for engineering teams to query company knowledge and codebases. Architected as a 9-node LangGraph state machine with role-scoped access and faithfulness checks.

Education

Degrees, certifications, and relevant coursework

NE

National School of Engineering of Sousse (ENISO)

Engineering Degree, Applied Computer Science

2024 -

Pursuing an Applied Computer Science Engineering Degree with a focus on agentic AI systems.

PI

Preparatory Institute for Engineering Studies of Monastir (IPEIM)

Preparatory Cycle, Mathematics & Physics

2022 - 2024

Grade: National Rank: 509 / 1800

Completed the Mathematics & Physics Preparatory Cycle, achieving a national rank of 509 out of 1800.

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