You will get full stack voice agent with proper tool calling with best latency.
Project details
I build AI voice agents that answer your calls 24/7, screen out spam, and turn real callers into qualified leads—automatically. While most "voice bots" sound robotic and miss the point, mine run on a production-grade backend with real-time speech, intelligent reasoning, and tool calling that actually books jobs, captures details, and follows up.
With 4 years building production backends—106+ REST APIs, multi-tenant systems, and live voice pipelines (Twilio, Deepgram, Cartesia)—I deliver systems that don't break under real call volume. Every missed call is a lost job; this system makes sure that never happens.
With 4 years building production backends—106+ REST APIs, multi-tenant systems, and live voice pipelines (Twilio, Deepgram, Cartesia)—I deliver systems that don't break under real call volume. Every missed call is a lost job; this system makes sure that never happens.
Programming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$4,500
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 40 days | 60 days | 70 days |
Number of Revisions | 1 | 2 | 5 |
Design Customization | |||
Content Upload | |||
Responsive Design | - | ||
Source Code |
Frequently asked questions
About Arbaz
AI Agent backend Engineer
Lahore, Pakistan - 8:05 am local time
4 years shipping production systems. I build agentic backends that think LangGraph orchestration, tool calling, multi-step reasoning. Deployed at scale.
WHAT I BUILD
-LangChain & LangGraph agents (end-to-end orchestration, tool calling, state management)
-Voice pipelines that work (Twilio + Deepgram + Cartesia, real-time)
-Django/DRF backends (106+ APIs, battle-tested)
-Systems that don't break (PostgreSQL, Redis, Celery, async patterns that actually scale)
-CRM integrations that stick (HubSpot, GoHighLevel, Zoho-OAuth2, webhooks, the works)
DEPLOYMENT & INFRA
Docker, Railway, AWS/GCP. CI/CD that catches problems before production does.
Ship fast. Solve problems.
Ready now.
Steps for completing your project
After purchasing the project, send requirements so Arbaz can start the project.
Delivery time starts when Arbaz receives requirements from you.
Arbaz works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & requirements
You share your call-handling needs, business details, and the outcomes you want. I map the workflow and confirm scope.
Build & integrate
I set up the backend, voice pipeline, and AI call screening, then connect your dashboard, SMS/email/WhatsApp, and scheduling.