Professional Overview
AI Automation Engineer with a proven track record building LLM-powered systems using n8n, Claude API, and Python. Delivered a 10,000+ submission feedback platform, AI lead-scoring agent, and RAG knowledge base with source-cited answers. Skilled in workflow automation, API integrations, prompt engineering, and scalable AI solutions.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and deployed AI automation workflows using n8n, Python, and LLM APIs.
- Developed RAG systems with vector databases and source-cited answer retrieval.
- Integrated CRM, Slack, Google Workspace, and third-party APIs into workflows.
- Automated reporting and business processes, reducing manual work and response ti
- Monitored, optimized, and maintained production AI systems for reliability and s
Key Achievements / KPIs
- Cut response time from 5s to <50ms for 10K+ submissions via caching
- RAG system <3s source-cited answers across 10+ docs via Claude + pgvector
- Saved 8+ hrs/week by automating KPI reporting pipelines
- Automated multi-campus workflows reducing manual coordination
Education
Field of Study: Industrial Engineering
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
