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Built another AI-powered product experience focused on one thing: making AI actually useful inside real apps.
From AI agents and chatbots to LLM integrations, voice, vision, RAG, and automation, the goal is not to add AI for decoration. It is to make the product faster, smarter, and easier to use.
Currently building AI products with React Native, Node.js, Python, OpenAI, AWS, and Supabase.
#aigold #AI #AIAgents #LLM #ReactNative #SaaS
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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100+ people already use my free skill file to stop their AI from making the same 25 design mistakes.
Drop it into your project and your agent gets better at typography, spacing, color, and dark mode. Link in the comments.
Most lead generation tools collect leads.
Mine scores them, analyzes them, and logs them automatically.
I built an AI Lead Intelligence Engine using n8n that triggers the moment a form is submitted. It normalizes the data, runs it through an AI scoring model, detects industry and buying intent using Gemini, assigns a HOT/WARM/COLD tier, and saves everything to a live CRM sheet.
Built for businesses that are tired of chasing cold leads manually.
This is Stage 1. Stage 2 adds automated personalized outreach. Stage 3 adds an AI voice call within 60 seconds.
If you run a business and lose leads because follow-up is slow, this system fixes that.
Love this Lead Intelligence flow! I also build lead scoring with n8n + OpenAI + Google Sheets. Clean execution — how do you handle duplicate leads? Let's connect!
I build AI that’s measured before it ships. Now open for freelance work.
Most AI features fail quietly. No one measured them, and the numbers come straight from the model. My work fixes both.
What I’ve built:
→ A multi-agent tax copilot for UAE–US businesses, live in production. The LLM reads the documents and cites the rule, and a deterministic engine does every calculation. 89% answer correctness on a human-reviewed eval.
→ An evaluation harness for legal AI. It benchmarked three frontier models on contract clauses (F1 0.88–0.90) and found a failure mode all three share: they cut off the legal condition that actually matters.
→ A brain MRI research platform with 3D lesion segmentation, sealed audit trails and FHIR export.
→ A pricing tool for metals traders that turns offer sheets (Excel, PDF, photos, voice) into priced bids.
→ Voice agents: a voice-to-clinical-note scribe, and a browser agent you control by speaking.
How I can help:
• AI agents and RAG systems, with evals built in
• Reliability audits for an AI feature you already shipped
• Document extraction from PDFs, sheets and scans
• Voice agents for calls and intake
• Healthcare AI workflows
If you have an AI feature that’s unreliable, or one you haven’t built yet, send me a message. First 3 clients get a priority start this month.
#AIEngineering #LLM #AIAgents #RAG #HealthcareAI
89% correctness on a human-reviewed eval for the tax copilot is a solid bar, good luck with freelance!