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I'm Bashar Dahbour, an Applied AI Engineer based in Amman, Jordan, designing, deploying, and owning production-grade AI systems across recruitment, operations, and document intelligence. I specialize in Generative AI, Agentic AI, NLP, and end-to-end ML pipelines that operate under real business constraints. I translate ambiguous problems into scalable AI solutions that boost productivity and integrate into existing workflows. I'm accustomed to collaborating with stakeholders to align AI outputs with operational success metrics, building reliable APIs, and maintaining systems in production while continuously monitoring performance and governance.…I'm Bashar Dahbour, an Applied AI Engineer based in Amman, Jordan, designing, deploying, and owning production-grade AI systems across recruitment, operations, and document intelligence. I specialize in Generative AI, Agentic AI, NLP, and end-to-end ML pipelines that operate under real business constraints. I translate ambiguous problems into scalable AI solutions that boost productivity and integrate into existing workflows. I'm accustomed to collaborating with stakeholders to align AI outputs with operational success metrics, building reliable APIs, and maintaining systems in production while continuously monitoring performance and governance.

Bashar Dahbour

AI Engineer, AI Developer, Data Scientist, +2

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I'm Bashar Dahbour, an Applied AI Engineer based in Amman, Jordan, designing, deploying, and owning production-grade AI systems across recruitment, operations, and document intelligence. I specialize in Generative AI, Agentic AI, NLP, and end-to-end ML pipelines that operate under real business constraints. I translate ambiguous problems into scalable AI solutions that boost productivity and integrate into existing workflows. I'm accustomed to collaborating with stakeholders to align AI outputs with operational success metrics, building reliable APIs, and maintaining systems in production while continuously monitoring performance and governance.…I'm Bashar Dahbour, an Applied AI Engineer based in Amman, Jordan, designing, deploying, and owning production-grade AI systems across recruitment, operations, and document intelligence. I specialize in Generative AI, Agentic AI, NLP, and end-to-end ML pipelines that operate under real business constraints. I translate ambiguous problems into scalable AI solutions that boost productivity and integrate into existing workflows. I'm accustomed to collaborating with stakeholders to align AI outputs with operational success metrics, building reliable APIs, and maintaining systems in production while continuously monitoring performance and governance.

Available to hire

I’m Bashar Dahbour, an Applied AI Engineer based in Amman, Jordan, designing, deploying, and owning production-grade AI systems across recruitment, operations, and document intelligence. I specialize in Generative AI, Agentic AI, NLP, and end-to-end ML pipelines that operate under real business constraints. I translate ambiguous problems into scalable AI solutions that boost productivity and integrate into existing workflows.

I’m accustomed to collaborating with stakeholders to align AI outputs with operational success metrics, building reliable APIs, and maintaining systems in production while continuously monitoring performance and governance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI Engineer — Applied & Production Systems

January 1, 2024 - Present

Designed and deployed AI-driven automation systems to streamline internal workflows and decision-making. Translated business problems into end-to-end AI architectures covering data ingestion, modeling, deployment, and monitoring. Built systems to operate with messy, multilingual, and unstructured real-world data. Worked directly with stakeholders to align AI outputs with operational constraints and success metrics. Delivered scalable APIs and services built for reliability and long-term maintainability.

AI Engineering Intern at PIOTECH

January 1, 2024 - January 1, 2024

Built and maintained ML deployment pipelines using Docker, FastAPI, and Google Cloud. Designed modular ETL pipelines, reducing runtime by 30%. Optimized inference using batching, caching, and request routing. Implemented monitoring tools to detect performance degradation and model drift. Integrated ML workflows into CI/CD pipelines for automated testing and deployment. Selected AI Systems & Impact projects included: Recruitment Intelligence Platform, Agentic RAG Knowledge Assistant, Enterprise Email Intelligence System, Document Intelligence & Information Extraction Platform, Production MLOps Platform.