Wakeb Data Senior AI & MLOps Engineer 2024–2026 Brief

A bilingual enterprise assistant with answer-quality monitoring

Built a bilingual enterprise assistant (Arabic/English) for a Saudi government client, with LLM evaluation and observability on answer quality.

See the architecture
Role
Built the assistant Full-time, Hybrid
Company
Wakeb Data for a Saudi government client (not named)
When
During the Wakeb Data role Sep 2024 – Apr 2026
Where
Giza, Egypt
Stack
  • LLM evaluation
  • Observability
  • Arabic NLP

The problem

A Saudi government client needed an enterprise-grade bilingual (Arabic/English) assistant, with evaluation and monitoring of answer quality.

What I did

  • Built the enterprise-grade bilingual (Arabic/English) assistant.
  • Added LLM evaluation and observability monitoring focused on response quality.

Outcome

  • An enterprise bilingual assistant with built-in evaluation and monitoring of answer quality.
Fig. 1 Bilingual assistant, Saudi government Capability view
  • Users and apps

    • Users (Arabic / English)
  • Orchestration

    • Bilingual assistant
  • Models

    • LLM
  • Quality

    • LLM evaluation
    • Observability: answer quality

Connections

  • Users (Arabic / English) to Bilingual assistant
  • Bilingual assistant to LLM
  • LLM evaluation to Bilingual assistant
  • Observability: answer quality to Bilingual assistant

Figure 1 Capability view: the public description covers the assistant, its evaluation and its monitoring; implementation details are not public. Diagrams show the components named in public descriptions of the work. They are simplified, not complete system maps.

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