Professional Overview
I build practical AI automation systems for teams that need work shipped quickly: n8n-style workflows, Python/JavaScript API integrations, LLM/RAG steps, data cleanup, retries, logging, and clear handoff docs. I work well on scoped automation builds, diagnostics, and productionizing messy manual processes.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built Python workflows for data cleanup and automation
- Integrated APIs and structured outputs for tools
- Used LLM steps for classification and routing
- Wrote Git-tracked scripts and handoff docs
Key Achievements / KPIs
- Improved repeatability with logs and documentation
- Reduced manual follow-up through workflow automation
Education
Field of Study: Workflow Automation, APIs, LLM Systems
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
