You will get a voice AI agent or talking avatar for your product
Project details
You will get a voice AI agent or talking avatar that responds in under 2 seconds
Most voice AI implementations feel robotic, cut users off mid-sentence, or make them wait 6 to 8 seconds for a response. I have solved all three of these problems in production.
I built an audio-first voice pipeline that streams the first sentence of audio to the user immediately while the rest of the response generates in the background. The result is a natural conversation that starts in under 2 seconds. I also rebuilt Voice Activity Detection so the system waits for a genuine pause before responding, not just any quiet moment. False cut-offs dropped by over 90%.
I can build you a voice assistant embedded in your web product, a talking avatar that stays synchronized with natural speech, or an inbound voice agent that handles calls and bookings automatically.
Tell me your use case and I will tell you the right architecture and a realistic timeline.
Most voice AI implementations feel robotic, cut users off mid-sentence, or make them wait 6 to 8 seconds for a response. I have solved all three of these problems in production.
I built an audio-first voice pipeline that streams the first sentence of audio to the user immediately while the rest of the response generates in the background. The result is a natural conversation that starts in under 2 seconds. I also rebuilt Voice Activity Detection so the system waits for a genuine pause before responding, not just any quiet moment. False cut-offs dropped by over 90%.
I can build you a voice assistant embedded in your web product, a talking avatar that stays synchronized with natural speech, or an inbound voice agent that handles calls and bookings automatically.
Tell me your use case and I will tell you the right architecture and a realistic timeline.
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, AI-Generated Video, AIOps, Conversational AI, Facial RecognitionAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, GitHub Copilot, Gradio, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Replit, Streamlit, Word2vecAI Models
AlphaCode, BERT, BLOOM, ChatGPT, DALL-E, GPT-4, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$400
|
Standard
$1,000
|
Advanced
$2,700
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 16 days |
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
About Abdul Rehman
AI Agent Developer | RAG Systems, LLM App, Voice AI | Agentic Workflow
Lahore Cantt, Pakistan - 6:42 am local time
and it keeps breaking in the real world, that is the exact problem I solve.
I build AI systems for founders, product teams, and businesses that need AI to actually work in
production, not just in a demo.
Here is what that looks like in practice:
If you have a large library of documents, contracts, reports, or manuals and your team spends
hours searching through them, I can build a system that answers any question from that library
instantly and accurately.
If you have a repetitive workflow where someone reads an input, makes a decision, and takes
an action, I can automate that with an AI agent that does it faster, consistently, without human
error.
If you want to add a voice assistant or an intelligent chatbot to your product that actually
understands your business context and can take actions (not just answer FAQs), I build those
too.
WHAT I HAVE SHIPPED
A document intelligence system that answers questions across 10,000+ documents in under 2
seconds, with 94% accuracy, for a client whose team was losing hours every week to manual
search.
A voice AI assistant with a talking avatar that responds naturally, handles back-and-forth
conversation, and is used in a real product today.
An AI agent that manages customer support automatically, resolving 85% of incoming tickets
without any human involvement, and routing the remaining 15% to the right team member.
A financial analytics platform where business owners can ask plain-language questions about
their data and get clear, visual answers instead of digging through spreadsheets.
WHO I WORK WITH
SaaS founders who want to add AI features that actually work and retain users.
Operations teams who want to cut the manual, repetitive work their people do every day.
Product teams who have tried AI tools and found they break at the edges.
Startups launching AI-powered products and needing someone who has done it before.
HOW IT WORKS
You tell me your problem in plain language. I ask a few questions to understand your workflow,
your data, and what success looks like. Then I scope it clearly and build it in iterations so you
can see progress before the final delivery.
No black boxes. No surprises. Just a working system at the end.
If that sounds like what you need, send me a message with your use case and I'll outline the best approach, expected timeline, and next steps.
Steps for completing your project
After purchasing the project, send requirements so Abdul Rehman can start the project.
Delivery time starts when Abdul Rehman receives requirements from you.
Abdul Rehman works on your project following the steps below.
Revisions may occur after the delivery date.
Get understanding of requirement and create architecture accordingly