01In short
Recruiters spend hours reading résumés and running first-round interviews before they meet anyone seriously. HireAI automated both steps.
In plain terms: I taught an open-source AI model (Llama 3.1) to rank résumés the way experienced recruiters do, using a lightweight fine-tuning method called LoRA. Then I built an AI interviewer that asks candidates questions and follows up on their answers in real time.
02What I did
- Fine-tuned Llama 3.1 with LoRA for résumé ranking — its rankings agreed with human recruiters 28% more closely than GPT-3.5 and Claude.
- Built a real-time AI interviewer that writes interview questions on the fly and asks context-aware follow-ups based on what each candidate says.
- Cut recruiter screening time by 80%.
- Signed 32 clients and generated $12K in revenue.
03How the ranking was measured
The goal wasn't for the AI to invent its own idea of a good candidate — it was to agree with experienced recruiters. After fine-tuning, its rankings matched theirs 28% more closely than GPT-3.5 and Claude did.
04Why I started it
What did you see that made you want to build this?
05Building the interviewer
How does the real-time interviewer work under the hood? What surprised you?
06Running a company
What did founding and selling teach you that engineering didn't?