Professional Overview
AI Automation Engineer served multiple clients by building AI-powered workflows, automation systems, and scalable business applications using n8n, Claude Code, OpenClaw, GoHighLevel, and Relevance AI. Experienced in client automation, AI agents, CRM integrations, and full-stack development.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Building Rust-based CLI tools for SDLC workflow automation
- Integrated Copilot and AI agents into engineering workflows
- Developed internal tooling for automation and developer productivity
- Built scalable APIs and automation pipelines for engineering teams
- Maintained documentation and operational workflows for adoption
Key Achievements / KPIs
- Standardized AI-assisted workflows across engineering teams
- Reduced repetitive engineering tasks through AI automation
- Improved developer productivity using internal CLI tooling
- Enabled scalable automation workflows for SDLC processes
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built custom business websites with integrated AI workflows
- Developed booking systems with WhatsApp and email automation
- Integrated Supabase backend services and authentication systems
- Created responsive dashboards for business analytics and reporting
- Collaborated directly with clients to gather and refine requirements
Key Achievements / KPIs
- Delivered production-ready client websites and internal tools
- Built centralized dashboard for Meta and Google Ads reporting
- Improved customer engagement through conversion-focused redesigns
- Helped businesses automate repetitive operational tasks
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built AI-powered workflow automations using n8n and Claude Code
- Designed client onboarding and lead management automations in GHL
- Integrated WhatsApp, email, and CRM systems using APIs
- Built AI candidate screening workflows using resumes and LinkedIn
- Managed client communication, delivery tracking, and documentation
Key Achievements / KPIs
- Reduced manual lead follow-up through automated workflows
- Delivered quote generation automation in under 3 minutes
- Built reusable AI workflow systems for multiple client businesses
- Improved client response speed and onboarding efficiency
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
