AI Product Build: From Idea to a Live, Working ProductTehreem Farooqi
I build AI products end to end. Not prototypes that look good in a demo and fall over with real users. Products that are live, used, and yours.
The last one I built and launched myself is AlohoMira. A candidate uploads a resume and a job description, talks to an AI recruiter on a live voice call, and gets a scored competency report at the end. Live at alohomira.com. Product thinking, architecture, code and deployment, all mine.
What I build
AI web apps and SaaS products, front to back
RAG and document intelligence over your own data
Agents, tool calling and voice agents
Scoring and evaluation done in code, so nothing is hallucinated
Auth, database, payments, admin dashboards and background jobs
How I work
Scope. We turn your idea into a written spec with a stack, a timeline and a cost. If it should be smaller than you think, I say so.
Build. You get working slices you can open and use, not a black box for six weeks.
Ship. Deployed, with the full source code in your repo and a handover doc.
Stack
Next.js, React, TypeScript, Python, FastAPI, PostgreSQL, Prisma, OpenAI, Claude, ElevenLabs, LangChain, Azure AI Foundry, AWS Bedrock, Docker, Cloud Run.
Who this is for
Founders with an idea and no engineering team
Companies that want an internal tool built properly
Teams who tried an AI feature, got something that half works, and want it done right
Timeline
A focused build is four to six weeks. A full platform with voice, agents and an admin side is eight to twelve. I will tell you which one you have before you commit.
By day I am a senior AI engineer shipping enterprise RAG, agents and automation at a Microsoft partner. At night I build my own products. You get both.
FAQs
Starting at$7,500
Duration6 weeks
Tags
Next.js
Python
AI Automation
AI Engineer
Artificial Intelligence
Service provided by
Tehreem Farooqi Rawalpindi, Pakistan
AI Product Build: From Idea to a Live, Working ProductTehreem Farooqi
Starting at$7,500
Duration6 weeks
Tags
Next.js
Python
AI Automation
AI Engineer
Artificial Intelligence
I build AI products end to end. Not prototypes that look good in a demo and fall over with real users. Products that are live, used, and yours.
The last one I built and launched myself is AlohoMira. A candidate uploads a resume and a job description, talks to an AI recruiter on a live voice call, and gets a scored competency report at the end. Live at alohomira.com. Product thinking, architecture, code and deployment, all mine.
What I build
AI web apps and SaaS products, front to back
RAG and document intelligence over your own data
Agents, tool calling and voice agents
Scoring and evaluation done in code, so nothing is hallucinated
Auth, database, payments, admin dashboards and background jobs
How I work
Scope. We turn your idea into a written spec with a stack, a timeline and a cost. If it should be smaller than you think, I say so.
Build. You get working slices you can open and use, not a black box for six weeks.
Ship. Deployed, with the full source code in your repo and a handover doc.
Stack
Next.js, React, TypeScript, Python, FastAPI, PostgreSQL, Prisma, OpenAI, Claude, ElevenLabs, LangChain, Azure AI Foundry, AWS Bedrock, Docker, Cloud Run.
Who this is for
Founders with an idea and no engineering team
Companies that want an internal tool built properly
Teams who tried an AI feature, got something that half works, and want it done right
Timeline
A focused build is four to six weeks. A full platform with voice, agents and an admin side is eight to twelve. I will tell you which one you have before you commit.
By day I am a senior AI engineer shipping enterprise RAG, agents and automation at a Microsoft partner. At night I build my own products. You get both.
FAQs
$7,500