LLM workflow automation
Building practical AI workflows that turn messy inbox, resume, and application data into structured review queues and next actions.
AI Engineering
I build AI-assisted product workflows around recruiting automation, resume intelligence, LLM agents, and cloud-backed applications. The focus is not generic chat: it is turning unstructured context into useful software with reviewable outputs.
Building practical AI workflows that turn messy inbox, resume, and application data into structured review queues and next actions.
Designing agent-assisted job-search systems with human review gates, memory, follow-up tracking, and evidence-backed application state.
Embedding LLMs into full-stack products with clear prompts, data contracts, failure states, and user-facing controls.
A recruiting operations workspace for Gmail-backed inbox sync, career memory, application tracking, and review-gated AI assistance.
A Gemini-powered travel planning app that turns uploaded food photos and trip context into personalized itinerary suggestions.
A serverless Discord assistant integrating OpenAI, AWS Lambda, API Gateway, async queues, and cloud monitoring.
For broader engineering work, review the full project list or the full-stack engineering page. For opportunities, contact Hanbin directly.