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You will get AI Agent / Voice AI Implementation Plan

Noah V.Status: Offline
Noah V.
Preview image

Let a pro handle the details

Buy Generative AI services from Noah , priced and ready to go.
Noah V.Status: Offline
Noah V.
Preview image

Let a pro handle the details

Buy Generative AI services from Noah , priced and ready to go.

Project details

You will get a practical AI implementation plan for your voice agent, chatbot, LLM integration, or workflow automation idea. This is designed for businesses that want expert guidance before spending money on the wrong tools, architecture, or development path.

I will review your goals, current workflow, tools, and constraints, then meet with you for a 60-minute strategy call. After the call, I will provide a written summary with recommended stack, scope, risks, tradeoffs, and clear next steps.

This is a good fit if you are considering an AI voice agent, AI receptionist, OpenAI/Claude/Gemini integration, RAG chatbot, API-connected assistant, CRM automation, or internal AI workflow.

My background includes building production voice AI and LLM systems, including healthcare-focused conversational AI workflows. I focus on practical implementation, not hype: what should be built, what should be avoided, and what the first version should look like.

Future development or prototype work can be continued through a separate Upwork contract if you want help building the system after the strategy plan.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Text-to-Image, AIOps, Automatic Speech Recognition, Conversational AI, Image Processing, Image Recognition, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Speech Synthesis, Time Series Forecasting
AI Models
OpenAI Codex

What's included $175

These options are included with the project scope.

$175
  • Delivery Time 1 day
  • Number of Revisions 1
    • AI Model Integration
    • Model Deployment
    • Model Documentation
    • Model Testing & Optimization
    • Natural Language Processing
    • Prompt Engineering
Optional add-ons You can add these on the next page.
Prototype Build (+ 7 Days)
+$1,000

Frequently asked questions

Noah V.Status: Offline

About Noah

Noah V.Status: Offline
AI Engineer | Voice Agents, LLM Integrations & Workflow Automation
Sioux Falls, United States - 12:45 am local time
Most AI projects do not fail because the technology was wrong. They fail because they were designed as demos and expected to perform as production AI systems. That distinction matters a lot, and it is where most of the real work happens.

I am a voice AI developer and AI agent developer who specializes in conversational AI and LLM integration for real business workflows. My focus is practical AI automation: AI voice agents, AI phone agents, agentic workflows, and API integration that connects to the tools your business actually uses. I am platform-agnostic, which means I can build on top of the OpenAI API, Anthropic Claude, Google Gemini, Vapi, Retell AI, Bland AI, Twilio, Pipecat, ElevenLabs, Deepgram, or a custom stack, depending on what your project actually requires.

What sets me apart is the combination of capabilities. I can understand the business workflow, design the technical architecture, and then build the thing. Those three usually belong to three different people. When they do not, projects move faster and the outcome is better designed.

I can help with:
- AI voice agents and AI phone agents (inbound and outbound)
- AI receptionist and AI answering service systems
- Inbound call automation and outbound call automation
- Appointment scheduling automation and lead qualification bots
- Customer support automation and CRM automation
- LLM integration with OpenAI, Anthropic Claude, and Google Gemini
- Agentic workflows, tool calling pipelines, and multi-agent systems
- RAG (retrieval-augmented generation) and knowledge-base chatbots
- API integration with existing tools, CRMs, and databases
- Human handoff logic, call routing, and call flow design
- AI workflow automation using n8n, LangChain, LangGraph, or custom builds
- Python and Node.js backend development on GCP or AWS
- Full-stack AI applications with React, TypeScript, and PostgreSQL
- Vapi, Retell AI, Bland AI, Twilio, Pipecat, and custom voice AI stacks
- AI implementation consulting, architecture planning, and technical strategy

I built and deployed SpeechSage, a healthcare AI platform built for real medical office workflows. That project gave me direct, hands-on experience with what actually matters in production conversational AI: call flow design, real-time voice agent behavior, prompt engineering, latency management, human handoff, HIPAA-aware architecture, and the integrations that make a system usable in a clinical environment. There is a meaningful difference between an AI receptionist that works in a demo and one that handles a real patient call reliably every day (and that gap is more common than most people expect).

My background also includes professional machine learning engineering experience, a Master's degree in Biomedical Engineering, and a Bachelor's degree in Electrical Engineering. I am comfortable working across the full AI implementation stack: agentic AI design, backend systems, cloud infrastructure, API integration, databases, and frontend applications.

A good fit would be a business that wants to:
- Build or improve an AI phone agent or AI voice agent
- Automate inbound calls, outbound calls, or appointment scheduling
- Add LLM integration or AI automation to an existing product
- Automate business workflows with AI: lead qualification, customer support automation, CRM automation, or follow-up sequences
- Connect an AI agent to documents, databases, or internal tools via RAG or tool calling
- Turn a rough idea into a working prototype
- Improve an existing AI system that is unreliable, slow, or hard to maintain
- Get AI implementation guidance before committing to a larger build

I work well with both technical and non-technical clients. If you already know exactly what you want, I can execute. If you have a rough idea, I can help shape it into a clear technical plan. Either way, I will tell you what is realistic and explain the tradeoffs without the jargon.

My goal is not to "add AI" to your business. My goal is to build something that earns its place in your actual workflow.

If that is what you are looking for, send me a message.

Steps for completing your project

After purchasing the project, send requirements so Noah can start the project.

Delivery time starts when Noah receives requirements from you.

Noah works on your project following the steps below.

Revisions may occur after the delivery date.

Review client requirements

I review your submitted goals, current workflow, tools, constraints, and any attached materials.

Strategy call

We meet for a 60-minute call to clarify the use case, workflow, technical needs, risks, and ideal implementation path.

Review the work, release payment, and leave feedback to Noah .