You will get 24/7 AI voice agent that answers every call so you stop losing customers
Top Rated
Project details
You will get a customer service voice agent that answers calls 24/7, resolves common questions, and routes complex issues to a human—so you stop missing calls, reduce repetitive support work, and deliver a smoother customer experience.
What you will get:
1. A natural-sounding voice agent tailored to your business, FAQs, and tone
2. Call flows for: FAQ support, triage, order/status lookups (if applicable), and escalation
3. Smart data capture (name, reason for call, account/order info) + call summaries
4. Integrations (optional): CRM/helpdesk, booking tools, Google Sheets, email/SMS
5. Testing, tuning, and a clean handoff process to your team
What you will get:
1. A natural-sounding voice agent tailored to your business, FAQs, and tone
2. Call flows for: FAQ support, triage, order/status lookups (if applicable), and escalation
3. Smart data capture (name, reason for call, account/order info) + call summaries
4. Integrations (optional): CRM/helpdesk, booking tools, Google Sheets, email/SMS
5. Testing, tuning, and a clean handoff process to your team
AI Algorithms
Autoencoder, Feedforward Neural Network, Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, AIOps, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-4, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$600
|
Standard
$900
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 12 days |
Number of Revisions | 2 | 3 | 5 |
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 | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100Frequently asked questions
37 reviews
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May 7, 2026
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Hisan took the time to understand my ask and execute flawlessly before doing a comprehensive demo to transfer learnings.
I engaged Hisan to develop AI agents (early days of Microsoft Copilot agents) that could act fairly autonomously to source relevant research from the internet. The end result was great and it also helped me turbo charge my own AI journey.
I fully intend on engaging Hisan again in the future and recommend him both for his professionalism and his capabilities.
I engaged Hisan to develop AI agents (early days of Microsoft Copilot agents) that could act fairly autonomously to source relevant research from the internet. The end result was great and it also helped me turbo charge my own AI journey.
I fully intend on engaging Hisan again in the future and recommend him both for his professionalism and his capabilities.
TO
Tom O.
Mar 6, 2026
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Super happy with Hisan's work and will definitely re-engage him in the future if we have additional similar work to do.
HC
Honyaku C.
Feb 7, 2026
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Hisan was not only detail-oriented but also offered alternatives and viable solutions, always willing to talk through the issues in order to better understand the root causes and implement the best solution.
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Feb 7, 2026
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About Hisan
AI Engineer | RAG & AI Agents | Voice AI Automation | Python, Next.js
100%
Job Success
Lahore, Pakistan - 12:50 am local time
Top Rated Plus, 100% Job Success, $50K+ earned across 50 Upwork jobs.
Getting an AI demo to work once is usually the easy part. The real engineering starts when retrieval has to stay reliable, agents need to follow guardrails, voice latency becomes noticeable, and real users stop following the happy path. That is the part I usually own.
Recent work:
* RAG system over 1,400 healthcare transcripts: hybrid search using dense retrieval, BM25 and RRF fusion, with metadata filtering and confidence gating so weak evidence gets flagged instead of answered confidently
* Conversational AI and voice agents using Retell AI, ElevenLabs, Deepgram, Twilio and OpenAI Realtime API: sales negotiation, lead qualification, appointment setting, coaching calls, CRM writeback and n8n automation
* Enterprise AI translation platform for a Japanese firm: multi-pass LLM pipeline with Translation Memory retrieval, replacing much of their manual CAT-tool workflow
* Private, self-hosted LLM and RAG stacks using vLLM and Qdrant for compliance-sensitive clients whose data cannot leave their infrastructure
* AI agents and full-stack LLM products end to end: LangGraph tool-calling workflows, FastAPI backends, Next.js and React frontends, PostgreSQL, and deployment on AWS and Azure
Core stack: Python, FastAPI, LangGraph, LangChain, LlamaIndex, Qdrant, OpenAI API, Claude API, Retell AI, ElevenLabs, Deepgram, Twilio, n8n, Next.js, React, PostgreSQL, AWS, Azure and Docker.
What you can expect:
* Clear scope and milestones before work starts
* Direct updates, documented code and a proper handover
* Ownership of the complete build, not just the model call
* Honest pushback if an approach has a problem or a simpler option would work better
Steps for completing your project
After purchasing the project, send requirements so Hisan can start the project.
Delivery time starts when Hisan receives requirements from you.
Hisan works on your project following the steps below.
Revisions may occur after the delivery date.
Gather the relevant data from the client
Build, test and deploy the Agent