Unilise
AI Recruitment Platform
Co-Founder
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An AI-powered end-to-end Applicant Tracking System with candidate applications, CV parsing, candidate pools, configurable recruitment workflows, asynchronous video interviews, reporting and AI-assisted evaluation. Built through hands-on product engineering and founder-led customer discovery across 100+ meetings.
Context
Unilise is the AI recruitment platform built at Unilise Technology. It was born from a simple observation: recruitment teams spend enormous amounts of time on repetitive evaluation tasks that follow predictable patterns. The product was designed to automate the structured parts of hiring while keeping hiring managers in control of every decision.
Product capabilities
An AI-powered end-to-end Applicant Tracking System covering the full recruitment lifecycle:
- Candidate applications and CV parsing
- Candidate pools and configurable recruitment workflows
- Candidate forms and asynchronous video interviews
- Reporting and analytics dashboards
- AI-assisted evaluation with configurable assessment criteria
- Position-specific AI evaluation workflows
- Configurable positive and negative hiring signals
- Explainable AI scoring with reasoning transparency
Screenshots
AI engineering approach
Configurable AI evaluation workflows
Position-specific evaluation criteria that hiring teams can define per role. The AI assesses candidates against these criteria rather than using a generic scoring model.
Explainable scoring
Every AI-generated assessment includes reasoning and evidence. Hiring managers see why a candidate scored the way they did, not just a number.
Positive and negative hiring signals
Configurable signal detection that identifies both strengths and red flags across candidate materials, structured around the specific requirements of each position.
CV parsing and extraction
Automated extraction of structured candidate data from uploaded documents, feeding into the evaluation pipeline and candidate pool management.
Role and ownership
Co-founded Unilise Technology as an independent technology company. Hands-on across product, engineering, customer discovery and commercial execution. The role spans everything from writing code and designing AI evaluation pipelines to conducting customer meetings and shaping product strategy based on what hiring teams actually need.
Customer discovery
Conducted over 100 customer discovery and sales meetings across the recruitment technology space with HR directors, recruitment managers and business stakeholders. These conversations revealed recurring pain points that became the product's core value propositions — not assumptions about what hiring teams might want, but documented evidence of what they actually struggle with.
Commercial traction
The platform supports tens of thousands of candidate records across live recruitment workflows with paying enterprise customers:
Awards & Recognition
Best Digital Entrepreneurship Award
Unilise · Imagine Tomorrow 2025
Entrepreneurial Leadership Recognition
Miraç Akdağ · Imagine Tomorrow 2025
At Imagine Tomorrow 2025, Unilise received the Best Digital Entrepreneurship Award for its work in AI-powered recruitment technology. I was also individually recognized for entrepreneurial leadership and founder-led execution across product, engineering, customer discovery, and commercial development — marking an important milestone in our journey from an early-stage idea to a product used by real customers.
Technical architecture
Built on a .NET/C# microservices backend with a React frontend. The architecture uses event-driven communication through RabbitMQ for asynchronous processing — particularly important for AI evaluation workflows where processing times vary. PostgreSQL handles structured data with Redis for caching and session management. Docker containers provide consistent deployment across environments.
What this demonstrates
- Technical founder operating across product, engineering and commercial responsibilities
- AI-powered product development with real enterprise customers and measurable traction
- Customer discovery directly informing product decisions — 100+ meetings
- B2B SaaS with paying enterprise customers across different industries
- End-to-end ownership from code to customer relationships