You will get a Multi-Tenant AI Outbound Calling SaaS Platform with CRM and Analytics
Project details
I build production-ready AI Outbound Calling SaaS platforms voice agents call leads, qualify prospects, book appointments and sync everything to your CRM automatically. Built on Retell AI, Twilio, n8n and Zoho. Delivered with a multi-tenant dashboard, Stripe billing and white-label capability.
Programming Languages
HTML & CSS, JavaScript, PythonWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$4,000
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 60 days |
Number of Revisions | 0 | 2 | 3 |
Number of Pages | 1 | ||
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
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GS
Gureey S.
May 13, 2026
Need AI Automation Engineer to Scale Our System
I hired Asad to fix a critical call drop issue in my AI calling system. The problem was deep in the Twilio trunk configuration and he diagnosed it quickly, rebuilt everything from scratch and tested it thoroughly. All calls are now completing successfully with no drops. Beyond just fixing the bug, he also helped scale the system for higher volume. He communicated clearly at every step and delivered ahead of schedule. One of the most technically strong developers I've worked with in AI automation. Will definitely hire again for future projects.
About Asad
AI Engineer | Agentic AI, Generative AI | Voice Agents, AI SaaS
Lahore, Pakistan - 10:57 pm local time
With 3+ years of professional experience as an AI Engineer, I have designed and shipped agentic AI pipelines, multi-agent orchestration systems, LLM-powered SaaS applications, RAG knowledge bases, and computer vision solutions across industries. My work is grounded in software engineering fundamentals: clean architecture, scalable backends, rigorous testing, and reliable deployments.
AGENTIC AI & MULTI-AGENT SYSTEMS
My primary focus. I architect autonomous AI systems using LangGraph, LangChain, CrewAI, and AutoGen systems that plan, reason, use tools, and complete multi-step tasks without human intervention.
→ Multi-agent orchestration with LangGraph and CrewAI
→ RAG pipelines with Pinecone, Chroma, Weaviate, and pgvector
→ Tool-calling agents integrated with CRMs, REST APIs, and databases
→ Long-term memory and stateful agent workflows
→ Autonomous research, decision-making, and outreach agents
→ Human-in-the-loop escalation and agent monitoring
GENERATIVE AI & LLM DEVELOPMENT
I work with the full spectrum of foundation models and build reliable LLM-powered features for production environments
→ Custom LLM applications using GPT-4o, Claude, Gemini, Groq, Mistral, and Llama
→ Retrieval-Augmented Generation (RAG) with hybrid search and reranking
→ Fine-tuning and advanced prompt engineering for accuracy at scale
→ Document intelligence: structured extraction from PDFs, Word, and unstructured data
→ LLM evaluation frameworks and production monitoring
→ Semantic search and vector similarity systems
AI CHATBOTS & CONVERSATIONAL AI
→ Website chatbots for lead capture and qualification
→ WhatsApp AI agents for bookings and support
→ SMS two-way communication agents
→ Context-aware human handoff with live CRM access
→ Multilingual conversational AI systems
→ Voice + text hybrid agents
AI Backend Architecture & API Development
AI without a solid backend is a liability. I build the infrastructure that keeps AI systems reliable at scale.
— FastAPI, Django, and Flask backends for AI orchestration
— Multi-tenant SaaS architecture with authentication and billing
— Real-time AI streaming via WebSockets
— REST and GraphQL API development
— PostgreSQL, MongoDB, Redis, Supabase, and Pinecone
— Docker, AWS, GCP, and Railway deployments
— MLOps pipelines: model versioning, monitoring, and retraining
Computer Vision & Deep Learning
— Object detection, image classification, and segmentation models
— Custom model training with PyTorch and TensorFlow
— OCR and document layout analysis
— Real-time video processing pipelines
— Model optimization and edge deployment
AI SAAS DEVELOPMENT
→ End-to-end AI SaaS products from architecture to deployment
→ LLM-powered features: chat, search, summarization, and generation
→ Real-time AI streaming with WebSockets
→ Scalable cloud deployment on AWS and GCP
VOICE AI AGENTS
Platforms: Vapi · Retell · ElevenLabs · Synthflow · Bland · LiveKit · Twilio · Vonage
I build and deploy production Voice AI Agents for real business environments not demos.
→ Outbound AI sales agents: call, qualify, and book appointments automatically
→ Inbound AI receptionists: 24/7 call handling, routing, and escalation
→ Appointment booking and rescheduling agents
→ IVR replacement with natural conversational AI
→ Missed call recovery with instant automated callbacks
→ Post-call automation: CRM updates, SMS follow-ups, email summaries
WORKFLOW AUTOMATION
Platforms: n8n · Make · Zapier · Custom API Integrations
→ Multi-channel lead follow-up via Email, SMS, and WhatsApp
→ CRM pipeline automation and deal stage management
→ Client onboarding, invoicing, and payment workflows
→ Cross-platform data sync: Google Sheets, Airtable, Notion
→ AI-enhanced decision logic inside automation flows
→ Real-time KPI reporting and operational dashboards
FULL TECH STACK
AI/ML: LangGraph · LangChain · CrewAI · AutoGen · OpenAI · Anthropic · Hugging Face · PyTorch · TensorFlow · scikit-learn · spaCy
LLMs: GPT-4o · Claude · Gemini · Groq · Mistral · Llama
Backend: Python · FastAPI · Django · Flask
Databases: PostgreSQL · MongoDB · Redis · Supabase · Pinecone · Chroma · Weaviate
Cloud & DevOps: AWS · GCP · Docker · Railway · GitHub Actions
Frontend: Next.js · React · Tailwind CSS
Integrations: HubSpot · Salesforce · GoHighLevel · Stripe · Twilio · WhatsApp API · Slack
Voice: Vapi · Retell · ElevenLabs · Synthflow · Bland
Automation: n8n · Make · Zapier
If you are ready to build an AI system that actually works in production, not just a demo, message me and let's get started.
Steps for completing your project
After purchasing the project, send requirements so Asad can start the project.
Delivery time starts when Asad receives requirements from you.
Asad works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call
use case, CRM, telephony setup, call scripts and campaign goals confirmed
System architecture
call flow, agent logic, CRM mapping and n8n workflows designed