You will get Voqal AI voice agent for inbound calls, lead qualification, and CRM sync
Project details
I deliver a fully functional Voice AI Agent system that handles inbound calls, qualifies leads with AI scoring, and auto-syncs qualified leads to your CRM in real-time. You get a production-ready system deployed on Kubernetes with real-time monitoring dashboard, call recording, transcription, and automated follow-ups. Perfect for sales teams, real estate, service businesses, and contact centers looking to save 80% on manual lead qualification work.
Purpose
BusinessIndustry
Business Services & Consulting, Financial Services, Real EstateLanguage
EnglishWhat's included
| Service Tiers |
Starter
$12,000
|
Standard
$18,000
|
Advanced
$25,000
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 30 days |
Number of Outbound Calls | 100000 | 1500000 | 2000000 |
Number of Email Sends | 1000000 | 1500000 | 99999999 |
Scriptwriting | |||
Summary Report | |||
Lead List | - |
Optional add-ons
You can add these on the next page.
Additional Outbound Call
(+ 2 Days)
+$50
Additional Email Send
(+ 2 Days)
+$50
Lead List
(+ 10 Days)
+$1,000Frequently asked questions
About Mohd Anas
AI Agentic Engineer/Backend Developer with Python/Go/Java/JS/MLOPS
Mirzapur, India - 3:11 am local time
4+ years building production AI/backend systems at Cisco, Mitsogo, OurWorldEnergy. Specialize in:
✓ AI Agentic Systems & LLM Integration (RAG, vector DBs, real-time inference)
✓ Scalable REST/gRPC APIs optimized for ML workloads
✓ Cloud-native microservices (AWS, Kubernetes, Docker)
✓ MLOps infrastructure & real-time model serving
✓ End-to-end solution delivery from concept → production
Key Metrics:
1000+ requests/min processing with 47% latency reduction
37% false alert reduction via ML-based filtering
60% faster moderation through real-time sentiment analysis
67% faster CI/CD pipelines with automated test selection
50K+ concurrent connections (real-time systems)
Tech Stack:
Languages: Python, Go, TypeScript | AI: LangChain, LlamaIndex, Anthropic SDK, OpenAI
Databases: PostgreSQL+pgvector, MongoDB, DynamoDB, Redis, Elasticsearch
Cloud: AWS (Lambda, SageMaker, EC2), GCP | Tools: Kubernetes, Docker, Kafka, FastAPI
Infrastructure: Terraform, GitHub Actions, Jenkins, Prometheus, Grafana
Why Me:
✓ AI-first backend architect (not just backend engineer)
✓ Startup expert - ship fast without technical debt
✓ Metrics-driven decisions backed by performance data
✓ End-to-end ownership: architecture → deployment → optimization
✓ Quick learner mastering new AI frameworks & tools rapidly
Available for:
Fractional roles (20-30 hrs/week)
Project-based deliverables (3-6 months)
Architecture consulting & handoff
Let's ship your AI product fast. 🚀
Steps for completing your project
After purchasing the project, send requirements so Mohd Anas can start the project.
Delivery time starts when Mohd Anas receives requirements from you.
Mohd Anas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirements
You provide your CRM details, business context, and customization needs. We schedule a kickoff call to finalize specifications.
System Development & Customization
I build and customize your Voice AI system following your requirements. Weekly check-ins keep you updated on progress.