Freelancers using SQLiteFreelancers using SQLite
AI Integration & Automation Engineer | Full-Stack Web Apps
$50k+
Earned
65x
Hired
4.9
Rating
126
Followers
AI Integration & Automation Engineer | Full-Stack Web Apps
Senior Full-Stack & AI Systems Architect | Delivery Lead
New to Contra
Senior Full-Stack & AI Systems Architect | Delivery Lead
Founders' Tech Partner | Full-Stack AI Engineer | 14 yrs exp
$25k+
Earned
8x
Hired
5.0
Rating
20
Followers
Founders' Tech Partner | Full-Stack AI Engineer | 14 yrs exp
A programmer who loves to secure and break the code.
$1k+
Earned
45x
Hired
5.0
Rating
17
Followers
A programmer who loves to secure and break the code.
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
5.0
Rating
30
Followers
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
Full-stack Developer | React, Next.js & Shopify
5.0
Rating
23
Followers
Full-stack Developer | React, Next.js & Shopify
AI Automation & Web Design | n8n · Vapi · Claude API
8
Followers
AI Automation & Web Design | n8n · Vapi · Claude API
Cover image for I built a working AI
I built a working AI recruitment screening demo that shows how a hiring team can use AI without handing over the final decision. The flow is simple: A job spec goes in. Candidate profiles are screened against a weighted guideline. Each candidate gets a score, band, evidence quotes, and risk flags. Then everything stops at a human review queue. No auto-rejects. No silent ATS updates. No “AI decided this person is out”. The system includes: Candidate pipeline table Evidence-based screening view Human review queue Approve / reject / snooze decisions ATS deployment plan Audit log for compliance n8n workflow export with a human-in-the-loop Wait node Optional live Claude screening path The important part is the architecture: deterministic logic owns the workflow, gating, state and audit trail. The AI helps with judgement and screening, but the human owns the final decision. Built with Next.js, TypeScript, Claude API, n8n workflow architecture, and a gated ATS sync pattern. This is the kind of system I like building: AI that makes the work faster, but still respects the places where people need control. Shorter Version I built an AI recruitment screening pipeline with a human approval gate. It screens candidates against a rubric, shows evidence quotes and risk flags, then routes every candidate into a review queue before anything reaches the ATS. No auto-rejects. No silent updates. Human-in-the-loop by design. Built with Next.js, TypeScript, Claude API and n8n workflow architecture.
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