AI interview systems
Structured questions, follow-up rules, session state, transcripts and completion logic.
AI-powered applications · By Hassan Adaminejad
AI features designed as reliable product systems.
Sarav helps teams move from an AI idea to a controlled web product with structured flows, validated outputs and clear failure handling.
Useful AI, integrated with the whole product.
Hassan brings product-engineering discipline to AI application development. Experience includes structured interview engines, AI recruitment workflows, provider benchmarking, bounded follow-ups, validated LLM results and recovery-safe sessions—not an unsupported chatbot added to the side of a product.
LLM integration
Provider-aware APIs, validated outputs, retry boundaries and observable workflows.
AI product UX
Interfaces that communicate system state, uncertainty, progress and failure clearly.
SaaS integration
Connect AI capabilities to users, permissions, databases, payments and existing product flows.
Direct, senior delivery.
Clarify
Define the business goal, constraints, users and smallest valuable delivery.
Architect
Choose a maintainable technical path and make important trade-offs explicit.
Build
Deliver in visible increments with testing, review and clear communication.
Ship and improve
Release safely, measure the result and strengthen the product where evidence points.
Have a project in mind?
Work directly with Hassan through Sarav for a focused build, product improvement or ongoing remote engineering partnership.