I design intelligent workflows that connect LLMs, APIs, data, and business processes to automate repetitive work and turn complex operations into scalable systems.
Four portfolio systems spanning workflow automation, AI visibility, RAG, and SaaS product simulation.
AI-powered website auditing workflow that generates comprehensive reports after analyzing technical website signals, content structure, and entity clarity to measure how effectively generative search engines (e.g., ChatGPT, Perplexity, Google AI Overviews) can parse, extract, and synthesize website content.
Web intelligence system that crawls websites, extracts structured content, and builds LLM-ready datasets for RAG pipelines in jsonl and CSV direct export formats.
AI project intelligence workflow that turns project-management data into executive summaries, priorities, and automated stakeholder updates.
AI-powered SaaS usage simulation system designed to generate realistic product activity for workflow validation, analytics testing, and scenario modelling.
I treat automation as systems design: understand the problem, architect the flow, connect the right tools, test the edge cases, and document the result.
Define the business problem, users, inputs, outputs, constraints, and success criteria.
Map the workflow, integrations, data flow, AI responsibilities, and failure points before implementation.
Orchestrate APIs, LLMs, data processing, business applications, and automation logic into one system.
Refine reliability, handle edge cases, explain technical decisions, and publish what was learned.
I publish technical case studies covering system architecture, implementation decisions, challenges, workflow design, and lessons learned from my AI projects.
I'm interested in opportunities involving AI automation, workflow development, AI solutions, and intelligent business systems.