Ahmed Ba Wazir

• Architected and deployed end-to-end Python and n8n automation pipelines for business clients, eliminating manual
repetitive workflows and reducing client processing time by up to 70%, by designing multi-step conditional logic
systems integrating IF/Switch nodes, Split-in-Batches processing, and Merge operations.
• Engineered an intelligent AI-powered content generation system, enabling professional-grade autonomous posting at
scale, by integrating LLM nodes (Claude API, Gemini) with style-analysis pipelines that learned and replicated specific
authoring patterns.
• Spearheaded a fully automated lead management and professional outreach pipeline targeting C-suite executives,
achieving a 3x increase in qualified engagement rate, by combining Webhooks, structured data extraction, and
customized RESTful API integrations with LinkedIn and WhatsApp automation.
• Developed reusable JavaScript utility modules for complex JSON data transformation within Code Nodes, reducing
workflow debugging time by 50%, by standardizing data mapping and filtering patterns across all client automation
projects.
• Delivered measurable improvements in touchless execution and planner productivity across all client engagements by
partnering directly with business stakeholders to identify digitization opportunities and translate manual processes
into scalable technical solutions. Maintained comprehensive solution architecture documentation, workflow diagrams, and technical runbooks for all
automation systems, enabling non-technical operators to manage and troubleshoot production workflows
independently. GitHub version control collaborative development practices across projects, ensuring long-term
maintainability, reproducibility, and team-scalable codebases.