You will get a voice AI agent for calls, sales, and booking
Top Rated
Top Rated
Project details
I will build a voice AI agent that can handle calls for sales, support, lead qualification, appointment booking, or customer follow-up.
The agent can speak naturally, ask questions, capture information, summarize the call, and send the result into your CRM, database, or automation workflow.
I can build with VAPI, Twilio, Deepgram, ElevenLabs, OpenAI, Claude, or your preferred stack.
This is best for businesses that want a working voice workflow, not just a demo bot.
The agent can speak naturally, ask questions, capture information, summarize the call, and send the result into your CRM, database, or automation workflow.
I can build with VAPI, Twilio, Deepgram, ElevenLabs, OpenAI, Claude, or your preferred stack.
This is best for businesses that want a working voice workflow, not just a demo bot.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Transformer ModelAI Applications
AI Mobile App Development, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Speech Synthesis, Synthetic Data Generation, Text RecognitionAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, ReplitAI Models
ChatGPT, DALL-E, GPT-4, GPT-J, GPT-Neo, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
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About Umer Farooq
AI Agent & SaaS MVP Developer | LangChain, RAG, Voice AI, Anthropic
100%
Job Success
Lahore, Pakistan - 8:53 am local time
𝐎𝐯𝐞𝐫 𝐭𝐡𝐞 𝐩𝐚𝐬𝐭 𝐟𝐞𝐰 𝐲𝐞𝐚𝐫𝐬 𝐈'𝐯𝐞 𝐛𝐮𝐢𝐥𝐭 𝐚𝐧𝐝 𝐬𝐡𝐢𝐩𝐩𝐞𝐝:
• A sales coaching platform with VAPI voice agents simulating prospect calls, Langfuse instrumented LLM evaluation pipelines, and real time "what do I say next?" coaching using GPT. Includes interest meter tracking, scorecard generation, and parallel call evaluation.
• RAG pipelines on Supabase + Pinecone that I diagnosed and rebuilt to drop 25 second response times to under 4 seconds in production.
• AI MVP web apps using Anthropic Claude SDK, Node.js/Express, React/Vite, and Supabase designed and scaffolded with Cursor for fast iteration.
• Multi agent orchestration with LangChain and LangGraph, including MCP server integrations.
• A Git supply chain security tool with multi layer LLM assisted detection that reached zero criticals across 13 real repos.
𝐖𝐡𝐞𝐫𝐞 𝐈 𝐭𝐞𝐧𝐝 𝐭𝐨 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐯𝐚𝐥𝐮𝐞:
•𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: autonomous agents using LangChain, LangGraph, OpenAI, Anthropic Claude, and MCP. Tool use, function calling, multi step planning, structured outputs.
• 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: VAPI, Twilio, Whisper, Deepgram, ElevenLabs. Real time call handling, prompt design for natural conversation, post call analysis pipelines.
• 𝐑𝐀𝐆 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐬: Pinecone, Chroma, FAISS, Supabase pgvector. Ingestion, chunking strategy, retrieval evaluation, prompt orchestration, and the boring infrastructure that decides whether the system actually works in production.
• 𝐀𝐈 𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐌𝐕𝐏𝐬 & 𝐒𝐚𝐚𝐒, 𝐟𝐮𝐥𝐥 𝐬𝐭𝐚𝐜𝐤 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲: TypeScript / Python FastAPI / Node.js Express on the backend, React or Next.js on the frontend, Supabase or Postgres for data. Stripe, auth, multi tenant architecture if you need it.
• 𝐋𝐋𝐌 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Langfuse for prompt management, tracing, and scorecards. I've designed evaluation pipelines that catch regressions before they hit users.
• 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: production grade prompts with structured outputs, refusal handling, behavioral consistency, and version control. Not vibes based.
𝐒𝐭𝐚𝐜𝐤 𝐈 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐝𝐚𝐢𝐥𝐲: Python (FastAPI, LangChain, LangGraph, Pydantic), TypeScript / Node.js (Express, Anthropic SDK, OpenAI SDK, Vapi SDK), React / Next.js / Vite, Supabase / Postgres, Pinecone / Chroma, Langfuse, Cursor, GitHub Actions, AWS / DigitalOcean.
𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: I'd rather scope tightly, ship fast, and iterate from real usage than disappear for three weeks and come back with a slide deck. I write production code, document what I build, and explain trade offs in plain language so non technical stakeholders can make decisions.
If you're building an AI native product, automating a real business workflow, or shipping an MVP that needs to actually work, message me with what you're trying to build and the constraints you're working within. I'll tell you honestly whether I'm the right fit.
Steps for completing your project
After purchasing the project, send requirements so Umer Farooq can start the project.
Delivery time starts when Umer Farooq receives requirements from you.
Umer Farooq works on your project following the steps below.
Revisions may occur after the delivery date.
Call flow planning
I review your call goal, script, user path, booking logic, CRM needs, and the expected call outcome.
Voice agent setup
I build the voice agent, conversation prompt, tool actions, call flow, and needed integrations.