A cloud-native, AI-powered interview platform for scalable, real-time candidate evaluation across five microservices.
Skill IQ is an interview platform designed to evaluate candidates the way a panel of engineers would; automatically, and at scale. It runs as five cooperating services rather than one monolith, so scoring stays fast even as concurrent interviews pile up.
Manual technical screening doesn't scale, and most automated scoring tools reduce an answer to a single keyword match. Neither gives a hiring team a signal they'd actually trust.
An AI scoring pipeline that combines three independent signals - LLM evaluation, embedding similarity, and rubric-based scoring; so no single method has to carry the whole judgment.
Built on FastAPI, Kafka, and Redis across 5+ microservices, with a real-time React and WebSockets dashboard for interviewers. Containerized with Docker and orchestrated on Kubernetes for production-ready infrastructure.
A scoring system that returns a defensible, multi-signal result in under two seconds, fast enough to feel live, thorough enough to trust.