OmarKhater

I build and ship production LLM systems — RAG pipelines, multi-agent assistants, semantic search, and conversational AI — for enterprise and government clients.

That includes a platform built for Upsource serving organisations such as STC, SDAIA, and NWC — and two production AI SaaS products in recruiting and customer support that I architected and engineered myself. I work the full delivery path: retrieval architecture and evaluation, Python backends in Flask and FastAPI, PostgreSQL with pgvector, React and Next.js interfaces, and Docker-based deployment on Linux. Bilingual Arabic/English, with deep experience building AI products for Arabic-first users.

based in medina, saudi arabia — available for work

1. 01

   AI Engineer

   FirstVision

   Mar 2024 — PresentRiyadh, Saudi Arabia · Full-time
   • Led delivery of a production AI platform for Upsource that serves major Saudi enterprise and government organizations including STC, SDAIA, and NWC, owning design from retrieval architecture through deployment.
   • Built a multi-agent AI assistant with function calling, autonomous task execution, and combined web and document search across connected knowledge sources.
   • Designed end-to-end RAG pipelines — document parsing, OCR, chunking, embedding, and vector retrieval — powering grounded question answering over client document sets.
   • Developed bilingual Arabic/English conversational assistants with context-aware dialogue management and consistent behavior across both languages.
   • Shipped an embeddable AI chat widget with real-time API interaction, streaming responses, and secure multi-tenant deployment.
   • Integrated AI chat with WhatsApp for automated multilingual support.
   • Designed and implemented an explainable AI recruitment engine performing semantic candidate–job matching, ATS evaluation, structured CV parsing, and ranking using vector embeddings.
   • Created an AI developer assistant covering code generation, documentation, diagram generation, image generation, and automated code review.
   • Built a secure AI search platform for interactive local and online queries with advanced privacy controls.
   • Developed an AI learning platform that converts database knowledge into quizzes and automated grading.
   • Ran systematic prompt engineering and AI evaluation cycles to improve answer accuracy, grounding, and response latency across deployed assistants.
   • Engineered scalable Flask and FastAPI backends for chat session management, file handling, and API routing.
2. 02

   Full-Stack Developer

   EnjazUK

   Jul 2023 — Mar 2024London, United Kingdom · Freelance
   • Designed and delivered backend applications and client-facing web platforms using Django and Flask.
   • Owned the full engagement cycle — requirements consultation, development, deployment, and handover.
   • Modelled and optimized relational database schemas for query performance and data integrity.
   • Supervised quality and accuracy assessment across delivered software solutions.
3. 03

   Software Engineer, Intern

   Smart E-Life Solutions Sdn. Bhd.

   Oct 2022 — Jul 2023Johor, Malaysia
   • Developed backend services and REST APIs for enterprise web applications.
   • Designed database structures that improved query performance across core application flows.
   • Built secure authentication and authorization systems for enterprise deployments.
   • Resolved 70+ software defects, improving application stability, performance, and security.
   • Created an AI project for identifying disease using a CNN.

1. 01

   Bachelor of Software Engineering

   Universiti Teknologi Malaysia

   2019 — 2023Johor Bahru, Malaysia
   • CGPA 3.72 / 4.00, graduated with Honours.
   • Dean’s List Award in 6 of 8 semesters.
   • Activities and societies focused on software engineering capstones and project leadership.