Hiring doesn’t slow down because teams lack candidates.
It slows down because evaluation doesn’t scale.
So I engineered an enterprise-grade AI recruiting platform that automates the entire funnel, from resume parsing to intelligent video interviews and real-time hiring analytics.
Built on Django + DRF with a React 18 frontend, the system leverages Google Gemini for resume intelligence and local Whisper pipelines for cost-efficient interview transcription.
Multi-tenant by design.
Asynchronous by architecture.
Observable by default.
The outcome: faster screening, standardized evaluation, and hiring workflows that actually keep up with growth.
Getting an AI screening tool to real revenue is the hard part. How did you handle recruiter pushback on bias and transparency in the video screening flow? That is usually where these products stall.
Oriel is a concept digital bank where the AI forecasts your balance, sorts every paycheck and explains each move in one plain sentence. The hard part wasn't the features. It was trust.
So the system stays quiet: ink, mist and one teal. A single bright lime appears only when the model acts. Once you learn it, lime means "Oriel did this."
Brand identity · Website · App UI · Motion
Open for freelance brand and product design. If your product needs to feel clear and trustworthy, let's talk.
Concept project, not a real bank. All figures are illustrative.