About
Daniel is a senior automation engineer with over a decade of experience building intelligent workflows for finance, operations, and logistics teams. He specializes in connecting disparate systems using n8n, Zapier, and custom Python scripts, turning manual processes into reliable automated pipelines. His recent work focuses on integrating LLM APIs into business workflows, enabling teams to automate document processing, data extraction, and decision support at scale.
Languages
English
Advanced
Cantonese
Native
Mandarin
Fluent
Skills
Automation
AI & APIs
Backend
Cloud
Data
Experience
Senior Automation Engineer
2022 - PresentAirwallex
Designed and deployed over 40 automated workflows using n8n and Python, reducing manual data entry by 85% across finance operations. Integrated Claude API for intelligent document parsing and classification.
- 40+ automated workflows deployed, saving 120+ hours/month in manual processing
- 85% reduction in data entry errors across 3 finance departments
- Claude API integration processes 2,000+ documents/day with 97% classification accuracy
Automation Lead
2019 - 2022Lalamove
Built end-to-end automation pipelines for shipment tracking, customs documentation, and vendor onboarding. Managed a team of 3 engineers and reduced processing time from days to minutes.
- Cut customs documentation processing from 3 days to 15 minutes per shipment
- Managed 3 automation engineers across 2 offices
- Vendor onboarding pipeline reduced setup time by 70%, onboarding 50+ vendors/quarter
Backend Developer
2016 - 2019Sleekflow
Developed REST APIs and background job systems in Python and Node.js. Introduced Zapier integrations that connected the product to 50+ third-party tools for enterprise clients.
- Built REST APIs handling 500K+ requests/day with 99.9% uptime
- 50+ third-party integrations via Zapier, adopted by 80% of enterprise clients
Education
B.Sc. Computer Science
University of Hong Kong
2015
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