You will get an AI voice agent for calls, bookings & customer support (Vapi/Retell)
Top Rated
Project details
I build AI voice agents that answer calls, book appointments, and handle customer support 24/7 — so you never miss a lead or tie up staff on the phone.
I'm Waqar, an AI engineer specializing in production voice AI and conversational AI agents. Using Vapi, Retell, Twilio, and LLMs (OpenAI, Claude), I design natural-sounding agents with low-latency speech, smart call flows, live human handoff, and call summaries.
Your agent connects straight to your stack: Google Calendar, GoHighLevel, HubSpot and other CRMs for real-time booking, lead capture, and follow-up. I can add RAG so the agent answers accurately from your own docs, FAQs, and pricing.
What sets me apart: I ship reliable, tested systems — not demos. Clear call logic, fallbacks, monitoring, and clean integrations that hold up with real customers.
You get a fully working AI voice receptionist: inbound and outbound calls, appointment booking, CRM sync, and analytics — built around your business and ready to scale.
I'm Waqar, an AI engineer specializing in production voice AI and conversational AI agents. Using Vapi, Retell, Twilio, and LLMs (OpenAI, Claude), I design natural-sounding agents with low-latency speech, smart call flows, live human handoff, and call summaries.
Your agent connects straight to your stack: Google Calendar, GoHighLevel, HubSpot and other CRMs for real-time booking, lead capture, and follow-up. I can add RAG so the agent answers accurately from your own docs, FAQs, and pricing.
What sets me apart: I ship reliable, tested systems — not demos. Clear call logic, fallbacks, monitoring, and clean integrations that hold up with real customers.
You get a fully working AI voice receptionist: inbound and outbound calls, appointment booking, CRM sync, and analytics — built around your business and ready to scale.
Chatbot Type
Customer Service Chatbot, Lead Generation Chatbot, Scheduling & Assisting ChatbotDevelopment Technology
Amazon Lex, ChatGPTMessaging Platform
SMS, Telephone, Twilio, WhatsAppWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Conversation Steps | 5 | 15 | 30 |
Number of Messaging Platforms | 1 | 2 | 3 |
Action Plan | |||
API Integration | - | ||
Bug Fixes | - | ||
Chatbot Flow Design | - | ||
Conversation Script |
Optional add-ons
You can add these on the next page.
Additional Conversation Step
(+ 1 Day)
+$75
API Integration
(+ 2 Days)
+$100Frequently asked questions
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About Waqar
AI Agent & Automation Engineer | LangChain, RAG, Voice AI, n8n, LLM
91%
Job Success
Karachi, Pakistan - 10:10 pm local time
I'm an AI Engineer specializing in AI agents, LLM & RAG applications, Voice AI (Vapi/Retell), and workflow automation (n8n/Make) using LangChain, LangGraph, Claude, OpenAI, and MCP to ship production systems, not prototypes.
25+ production AI systems shipped across healthcare, life sciences, distribution, hospitality, construction, fintech, and enterprise SaaS. Not prototypes. Real systems running 24/7 with measurable ROI.
𝐑𝐞𝐜𝐞𝐧𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
🧬 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐟𝐨𝐫 𝐋𝐢𝐟𝐞 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧
Multi-agent platform automating IND/CTA submissions, clinical study reports, and safety narratives for biotech & pharma. Includes AI-powered document extraction, intelligent template generation, automated data propagation across regulatory modules, and human-in-the-loop validation. SOC 2 & GDPR compliant. Trusted by top-20 pharma companies. [Google ADK, LiteLLM, Agentic AI, AWS]
💰 𝐀𝐈 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐍𝐘 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐅𝐢𝐫𝐦
Built a Claude-powered pipeline that classifies 200+ page financial documents, extracts structured values into a governed database, and produces defensible outputs with an evaluation dataset ensuring accuracy across edge cases. [Claude, Document AI, Structured Extraction, Evals]
💍 𝐀𝐈 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐠𝐞𝐧𝐭 + 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐈𝐦𝐚𝐠𝐞 𝐒𝐞𝐚𝐫𝐜𝐡 𝐟𝐨𝐫 𝐉𝐞𝐰𝐞𝐥𝐫𝐲 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐞𝐫
RAG-powered MS Teams assistant that captures institutional knowledge from emails, Zoho tickets, and legacy ERP (NAV 2009). Plus a custom computer vision search engine for jewelry B2B commerce with 0% dead-end searches. [Azure OpenAI, RAG, FastAPI, Computer Vision]
📦 𝐀𝐈 𝐎𝐫𝐝𝐞𝐫 𝐏𝐚𝐫𝐬𝐢𝐧𝐠 + 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐏𝐨𝐫𝐭𝐚𝐥 𝐟𝐨𝐫 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐨𝐫
Automated PO parsing across 25,000+ SKUs. 30 min → under 1 min, 97% accuracy, 70% faster fulfillment. Plus a conversational AI portal (MCP-powered) for natural-language access to orders, invoices, inventory & support cases. [Vertex AI, Fine-tuned Gemini, Claude, MCP, NetSuite]
🍽 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 + 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐑𝐞𝐬𝐭𝐚𝐮𝐫𝐚𝐧𝐭 𝐆𝐫𝐨𝐮𝐩
Voice + WhatsApp agent handling 95%+ of reservations and event inquiries across multi-venue hospitality group. £30K annual savings, zero dropped leads, GDPR-compliant. [Voice AI, WATI, Toast API, WooCommerce]
🏗 𝐀𝐈 𝐋𝐞𝐚𝐝 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐀𝐠𝐞𝐧𝐭 𝐟𝐨𝐫 𝐂𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧
LLM-powered agent scans local news and institutional sites for capital campaigns, grants & property purchases. 90%+ lead relevance, real-time MS Teams delivery, duplicate prevention, and update intelligence. [Python, LLM APIs, MS Teams API]
🩺 𝐀𝐈 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐋𝐚𝐛
Voice + chat + OCR healthcare assistant handling test discovery, symptom analysis, appointment booking, prescription parsing & report interpretation for one of Pakistan's largest diagnostic labs. [Pinecone, Gemini, Logfire]
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Multi-tenant SaaS automating case management, OCR document extraction (>95% accuracy), LLM-powered petition drafting, and billing compliance for immigration law. [Django, AWS Textract, OpenAI, QuickBooks API]
𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐰𝐢𝐭𝐡:
◆ 𝐀𝐈 & 𝐀𝐠𝐞𝐧𝐭𝐬: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, MCP Servers, Multi-Agent Orchestration
◆ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈: Retell AI, OpenAI Realtime API, ElevenLabs, Whisper, Custom Voice Agents
◆ 𝐑𝐀𝐆 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: Pinecone, Weaviate, ChromaDB, Qdrant, PDF/OCR Parsing, ERP Integration (NetSuite, Oracle), OCR, Document extraction, PDF extraction.
◆ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, LLM Evaluation
◆ 𝐒𝐭𝐚𝐜𝐤: Python, FastAPI, React, Next.js, PostgreSQL, Docker, AWS/Azure/GCP
◆ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite, Zapier, Make, Slack, Stripe
✅ 𝗚𝗼𝗼𝗱 𝗳𝗶𝘁 𝗶𝗳:
- You have 5+ employees and a decision-maker in the room
- Budget is $5K+ with a target of $10K+ in measurable savings within 90 days
- Ready to start within 2 weeks
❌ 𝗡𝗼𝘁 𝗮 𝗳𝗶𝘁 𝗶𝗳:
- Price is your #1 decision factor
- You expect results in under 2 weeks
- You don't value mutual respect & collaboration
𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗿𝗲-𝗵𝗶𝗿𝗲 𝗺𝗲:
→𝐙𝐞𝐫𝐨 𝐬𝐮𝐫𝐩𝐫𝐢𝐬𝐞𝐬. Every milestone, deliverable, and cost locked in from day one. No scope creep
→𝟗𝟑% 𝐨𝐧-𝐭𝐢𝐦𝐞, 𝐨𝐧-𝐛𝐮𝐝𝐠𝐞𝐭. I scope with precision and deliver exactly what I promise.
→ <𝟑𝟎 𝐦𝐢𝐧 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐭𝐢𝐦𝐞. Every time.
→ 𝐄𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐨𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩. Concept to production. 12 years.
Steps for completing your project
After purchasing the project, send requirements so Waqar can start the project.
Delivery time starts when Waqar receives requirements from you.
Waqar works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Call Flow Design
I review your use case, call volume, and goals, then map the full conversation flow — intents, questions, booking logic, and human-handoff rules — so the agent matches how your business actually talks to customers.
Build & Integrations
I build the AI voice agent in Vapi/Retell with your chosen voice, connect telephony (Twilio), and integrate your calendar and CRM (Google Calendar, GoHighLevel, HubSpot) for real-time booking, lead capture, and call summaries. RAG added if needed.