Most developers will build exactly what you spec. The problem is that what gets specced is rarely what actually solves the business problem. The gap between those two things is where AI projects fail, and closing that gap before writing any code is how I work.
I have been building production AI systems and full-stack platforms for several years. Not prototypes. Systems that handle real users, real data and real consequences when something breaks.
TaxForce is a 37-agent system running inside a real CPA firm covering document intake, risk scoring, audit defense, deadline tracking and client communication. The Facebook Self-Healing Ads platform is a closed-loop AI system that monitors, diagnoses and fixes campaign performance without human intervention. PAM AI handles thousands of concurrent dealership calls across 8 plus CRM integrations. Dentva is a HIPAA-compliant SaaS handling patient scheduling in production daily. These are not templates strung together, they are properly engineered systems with error handling, logging and recovery paths built in from the start.
Before this I spent a year and a half at Turing doing RLHF and model evaluation on the OpenAI and Claude model families. That experience shapes how I evaluate AI output and design systems that behave reliably rather than impressively in demos.
On the full-stack side I was CTO on RIZZ, a React Native dating app that grew past 100K users. I have worked on Junia AI, Slides and TopSocialAI across multi-tenant architecture, real-time systems and mobile at scale. These are confirmed production experience not claimed skills.
The stack I work in daily is Next.js, React, TypeScript, Python FastAPI, Node.js, Supabase, PostgreSQL, LangChain, LangGraph, OpenAI, Anthropic API, Retell AI, Vapi, Twilio, ElevenLabs, Deepgram, n8n, Make and AWS.
If you are building something in agentic systems, AI automation, full-stack SaaS or voice AI and you want someone who will tell you honestly what the right approach is before agreeing to build it, that is the conversation I am interested in having.
Tahir H. earns an estimated $27k/mo. That's 18.5× the typical freelancer and more than 99.99% of everyone we track.