I design and build AI-powered conversational systems for assessments, screening, onboarding, training, support, and knowledge evaluation.

These systems can interact with users through voice or text, ask dynamic questions, evaluate responses against defined criteria, and generate structured reports for teams.

What I can build:

Voice-enabled conversational AI assistants

Technical, role-based, and skills assessments

Candidate screening and pre-qualification workflows

Adaptive question-and-answer experiences

Training and knowledge-check assistants

Customer or employee onboarding systems

Automated scoring and evaluation workflows

Structured rubrics and competency frameworks

Transcription, summaries, and feedback reports

Human review and approval workflows

Integrations with APIs, CRMs, ATS platforms, databases, and internal tools

I can build the system using LLMs, Python, LangGraph, LangChain, Vapi, APIs, and cloud infrastructure. The solution can be delivered as a prototype, backend API, web application integration, or production-ready workflow.

I focus on consistent evaluation, explainable results, configurable workflows, and safe handling of user data. Voice assistants can use custom tools and webhooks to retrieve information or perform actions in connected systems. docs.vapi

This service is suitable for recruitment, HRTech, EdTech, training, customer success, internal operations, and other businesses that need scalable conversational interactions and structured assessments.