AI Automation Engineer | Python • n8n • APIs • AI Workflows
Rizal
I am an AI Automation Engineer specializing in Python, workflow automation, API integrations, web scraping, and AI-assisted business systems. I build practical automation solutions using Python, n8n, Playwright, REST APIs, LLM integrations, Docker, and structured data pipelines. My focus is on reliable systems that reduce manual work, improve data quality, integrate business tools, and produce verifiable results. Recent projects include: • LeadFlow – an AI-assisted lead generation and qualification pipeline using structured LLM outputs, deterministic validation, evidence-based QA, and CRM-ready exports. • Google Business Lead Research – a production-oriented lead research and AI assessment system combining semantic retrieval, evidence-grounded analysis, deterministic guardrails, Docker, and cloud deployment. • Real Estate Property Listings & Data Extractor – a multi-source property data extraction workflow built for structured and reusable real-estate datasets. • LaundryFlow – a Python-based POS and business operations system with transaction processing, reporting, and workflow automation. I can help businesses with AI workflow automation, n8n integrations, web scraping and browser automation, API integrations, data processing and validation, and reliable Python automation. I prioritize maintainable code, structured outputs, validation, testing, and solutions that can be verified rather than relying on AI output alone.
Apify, contract
Jun 2024 to Present
Develop and maintain production-grade automation solutions and web scraping actors on the Apify platform using Python and Playwright. Key achievements: • Built public automation tools for web scraping, monitoring, and structured data extraction. • Developed production-ready data pipelines for business automation and lead generation. • Official qualifier and recipient in Apify's $1 Million Creator Challenge. • Technical article accepted in the Write for Apify program and awarded $500 USD. • Published public portfolio demonstrating browser automation, data processing, and automation engineering best practices.