You will get OpenAI, Claude, or Gemini AI integrated into your existing web/mobile app
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Top Rated
Project details
Adding AI to an existing product is mostly not an AI problem, it's an engineering problem: where the feature sits in your architecture, how to control token costs, what happens when the API fails, and how to keep outputs structured enough for your frontend. That's the work I do.
Recent examples: Saka OS, an operations platform using Claude as its analytics engine (NestJS + PostgreSQL); Mindtrip, a GPT-4 travel assistant with LangChain + Pinecone that improved conversion by 40%; and SlabSquad, a Flutter app where OpenAI-powered image analysis grades trading cards in seconds. Different stacks, same discipline: streaming, retries, guardrails, and costs measured before launch.
Send me your stack (Node, Python, Next.js, Flutter, anything mainstream) and the feature you want. I'll integrate it properly: typed outputs, provider fallback, and documentation your team can extend.
Recent examples: Saka OS, an operations platform using Claude as its analytics engine (NestJS + PostgreSQL); Mindtrip, a GPT-4 travel assistant with LangChain + Pinecone that improved conversion by 40%; and SlabSquad, a Flutter app where OpenAI-powered image analysis grades trading cards in seconds. Different stacks, same discipline: streaming, retries, guardrails, and costs measured before launch.
Send me your stack (Node, Python, Next.js, Flutter, anything mainstream) and the feature you want. I'll integrate it properly: typed outputs, provider fallback, and documentation your team can extend.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI-Enhanced ClassificationAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$345
|
Standard
$895
|
Advanced
$2,450
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
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 |
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SS
Sunny S.
Jul 22, 2025
Develop POC: Realtime Twilio Media Streams, Deepgram, OpenAI, Firebase db
DS
Daniel S.
Dec 6, 2024
IoT Web and Mobile Development
There are times when you take on a project knowing it needs to be done but without a clear vision of the final outcome. That was the case with this project, and Muhammed exceeded all expectations. From the start, he was always two steps ahead, often implementing ideas before I even suggested them. On several occasions, I asked for specific changes only to find he had already tried or integrated those ideas. The project was completed early, under budget, and with more features than initially planned. Working with Muhammed was a fantastic experience, and his proactive approach and expertise were invaluable.
SM
Sven M.
Nov 13, 2024
Expert in Firebase + OpenAi + Bubble | Project
Muhammad is very knowledgable and an all-round experience player. He highlighted several items that made us aware how to build the software stack in a way its scalable and future proof. He has demonstrated to quickly align with other members of our team to accelerate the work.
We are very happy with the results and opened a second contract.
We are very happy with the results and opened a second contract.
wt
wyatt t.
Oct 9, 2024
Private
good work, very knowledgable, good communication, very kind, would highly recommend
MK
Muhammad K.
Sep 9, 2024
AI Chatbot - Android and iOS Mobile Application
Hamad was exceptional in the project delivery. Excellent problem solving and troubleshooting skills.
Highly recommended for Flutter and Swift projects.
Highly recommended for Flutter and Swift projects.
About Muhammad Hamad
Senior AI Engineer | AI Agents, RAG, Voice AI, LLM, AI SaaS | GenAI
100%
Job Success
Lahore, Pakistan - 10:02 am local time
7+ years of experience building AI and SaaS Platforms, Full-Stack development, AI Multi-Agents, RAG knowledge assistants/Chatbots and intelligent automation, 30+ delivered projects, and apps shipped to millions of users from AI mobile apps on the App Store & Play Store to full AI SaaS platforms.
I work with founders and product teams worldwide to take AI products from concept to production.
𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
➛ AI-Powered Mobile Apps (Flutter & React Native, iOS & Android)
➛ AI-Powered SaaS Platforms & Web Apps (full-stack, cloud-deployed)
➛ LLM & RAG Systems: LangChain, Pinecone, OpenAI, Claude, Llama
➛ Chatbots & AI Assistants (in-app, customer support, business automation)
➛ Voice AI & Calling Agents (Twilio, Vapi, Deepgram, Real-time Conversations)
➛ Multi-Agent Systems & Workflow Automation (n8n, Make, Zapier)
➛ End-to-End Deployment (AWS, Azure, Google Cloud, Docker, CI/CD)
➛ MVPs & Prototypes – From idea → shipped product quickly
𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐈'𝐯𝐞 𝐒𝐡𝐢𝐩𝐩𝐞𝐝:
• AgentVoice: AI voice calling agents that book appointments, qualify leads, and update CRMs during live calls.
• Ascensus: AI journaling companion - Flutter app, OpenAI with RAG memory, voice and text.
• ChatQRE: AI ChatBot - natural-language queries over databases and live market APIs, analyst-hours replaced by seconds.
• EtonVS: Intercom support automation - smart ticket routing, priority tagging, and multi-channel notifications.
• Clinic Cue: HIPAA-grade healthcare data sync between Monday and HHAeXchange - AWS, webhooks, full audit logging.
• MarketersPen: AI content and campaign automation platform.
𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬 𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐞 𝐈𝐧:
🔑 AI-powered mobile apps with chat, voice, and real-time features
🔑 AI SaaS platforms – from MVP to production release
🔑 AI chatbots and assistants for support, sales, and onboarding
🔑 RAG-based knowledge assistants over documents and internal systems
🔑 Voice AI for call handling, summaries, and insights
🔑 Task-focused AI agents with controlled tool access (MCP-based)
🔑 Workflow automation across SaaS tools and custom platforms
🔑 Data pipelines, syncing, reporting, and operational analytics
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞
𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
🔹 Cross-platform Flutter and React Native apps with AI chat, voice interfaces, and real-time features
🔹 BLE/IoT, biometric auth, real-time data, and payments integration
🔹 Cross-platform builds from MVP to App Store / Play Store production release
𝐒𝐚𝐚𝐒 & 𝐂𝐮𝐬𝐭𝐨𝐦 𝐖𝐞𝐛 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬
🔹 Custom web applications using React, Next.js, TypeScript, Redux, Tailwind CSS
🔹 Secure REST, GraphQL, and Fast API with Node.js, NestJS, Python (FastAPI, Flask, Django), WebSockets
🔹 Scalable databases: PostgreSQL, MongoDB, MySQL, DynamoDB, Firebase, Supabase, Redis
🔹 API & platform integrations: Stripe, PayPal, Plaid, Google Maps & GPS, email and social platforms
𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬
🔹 OpenAI, Claude, and Gemini LLM Integration
🔹 Multi-agent orchestration with LangChain, LangGraph, and custom frameworks
🔹 MCP (Model Context Protocol) server for AI-powered applications
🔹 Vector databases for semantic search and long-term memory (Pinecone, ChromaDB, Elasticsearch)
🔹 Retrieval-Augmented Generation (RAG) over existing databases, PDFs, and internal documents
🔹 Voice & calling agents using Retell, Twilio, and Vapi
🔹 Speech-to-text and text-to-speech pipelines (Whisper, Deepgram, Google Speech APIs)
𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧𝐬
🔹 CRM, lead management, and workflow automation with n8n, Make, Zapier, HubSpot
🔹 AI-powered automations for onboarding, follow-ups, scheduling, reporting, and notifications
🔹 End-to-end data pipelines for analytics, alerts, and operational intelligence
🔹 API-level integrations connecting AI agents, databases, SaaS tools, and cloud services
𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞
🔹 CI/CD pipelines with GitHub Actions, GitLab CI, and automated testing
🔹 Containerized deployments using Docker and Kubernetes orchestration
🔹 Monitoring, logging, and observability with Sentry, Datadog, CloudWatch
🔹 Scalable cloud architecture on AWS (Lambda, EC2, RDS), GCP, and Azure
If you're building an AI mobile app or SaaS product and want it done once, properly, send me a short description of what you're building and I'll tell you honestly what it'll take.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Hamad can start the project.
Delivery time starts when Muhammad Hamad receives requirements from you.
Muhammad Hamad works on your project following the steps below.
Revisions may occur after the delivery date.
Understand your existing system and propose the AI Integration Plan