Danyal D.

Most automation freelancers can wire up n8n or Make. Few can also build the backend the automation depends on, the API integrations, the search and data layer, the pipelines that don't fall over at scale. I do both. I'm a data & AI engineer with 5+ years building production systems: workflow automation (n8n, Make), LLM/agent integrations, Elasticsearch/ELK, Kafka pipelines, and data engineering on enterprise-scale datasets. What I deliver: - AI automation that holds up - n8n/Make workflows with LLM agents for extraction, classification, routing, and decisioning, built with real error handling and batch orchestration, not happy-path demos. - The hard integrations - REST/SOAP APIs, webhooks, Elasticsearch, Kafka, SQL/NoSQL - so your automation connects to the systems that matter, not just the no-code-friendly ones. - Search & data layer - Elasticsearch index design, ingestion pipelines, query tuning, including Arabic-language search and NLP (a rare specialization). Recent work: an n8n + vision-LLM pipeline that auto-classified ~50,000 passport images by issuing country; a bidirectional Arabic–English name-translation pipeline updating Elasticsearch via point-in-time pagination; AI reporting automation that cut processing time ~40%. Top Rated · 100% Job Success · 1,600+ hours. I lead with the recommendation, flag trade-offs, and don't disappear mid-project.