You will get integrated AI features into your app using OpenAI or Claude
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Project details
AI features are the fastest way to make a product stand out in 2026, but a bolted-on chatbot that invents answers costs you user trust.
I build AI into your app the right way. That means retrieval so answers stay grounded in your real data, streaming responses so it feels fast, and cost controls so your API bill does not spiral. I have shipped production AI products, including an agentic assistant that reads documents, extracts requirements, and surfaces project risk automatically.
Works with OpenAI, Claude, or open models like Llama. I recommend the best fit for your use case and budget instead of defaulting to one.
What is included: AI feature scoped to your exact use case Backend integration with your existing app Prompt engineering and retrieval setup Streaming response UI Usage limits and cost guardrails
I build AI into your app the right way. That means retrieval so answers stay grounded in your real data, streaming responses so it feels fast, and cost controls so your API bill does not spiral. I have shipped production AI products, including an agentic assistant that reads documents, extracts requirements, and surfaces project risk automatically.
Works with OpenAI, Claude, or open models like Llama. I recommend the best fit for your use case and budget instead of defaulting to one.
What is included: AI feature scoped to your exact use case Backend integration with your existing app Prompt engineering and retrieval setup Streaming response UI Usage limits and cost guardrails
AI Algorithms
AdaBoost, Convolutional Neural Network, CycleGAN, Deep Belief Network, Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Regression Analysis, Self-Organizing Map, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Generated Code, Conversational AI, Image Analysis, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Neural Style Transfer, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Gradio, Jasper AI, PyTorch, Replit, Streamlit, TensorFlowAI Models
AlphaCode, BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, LaMDA, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,400
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 18 days | 28 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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BL
Brian L.
Jan 4, 2023
Success Engineer (for developers interested in a customer-facing role, NOT a mobile app project)
TG
Tim G.
Aug 14, 2022
Success Engineer (for developers interested in a customer-facing role, NOT a mobile app project)
About Muhammad
Full-Stack Developer | React, Node, Nextjs, ReactNative, Python | MERN
100%
Job Success
Lahore, Pakistan - 3:09 am local time
I’m a Full-Stack and AI developer with 7+ years of experience, helping startups turn ideas into scalable, production-ready products, from architecture and MVP development to launch, optimization, and growth.
What I Bring:
✅ Full-stack web & mobile development
✅ Scalable product architecture & MVPs
✅ AI features & workflow automation
✅ REST APIs, integrations & authentication
✅ PostgreSQL, MongoDB & database design
✅ AWS, GCP & Firebase
✅ CI/CD, deployment & monitoring
✅ Performance optimization & debugging
✅ GTM engineering, analytics & growth experiments
𝐌𝐲 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤
Frontend: React, Next.js, React Native, JavaScript, TypeScript
Backend: Node.js, Express.js, NestJS, Python
Databases: PostgreSQL, MongoDB
Cloud & DevOps: AWS, Google Cloud Platform, Firebase, CI/CD
AI integration: OpenAI/LLM APIs, RAG pipelines, OCR, and workflow automation
𝐒𝐨𝐦𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐈'𝐯𝐞 𝐬𝐨𝐥𝐯𝐞𝐝 𝐫𝐞𝐜𝐞𝐧𝐭𝐥𝐲:
⭐Momba.ai: agentic AI assistant that reads documents, extracts requirements, and surfaces project risk automatically. React, Node.js, PostgreSQL, LLM APIs.
⭐Savvy Displays: enterprise display management platform, scaled to stay stable under growth. React, AWS (Amplify + EC2), PostgreSQL.
⭐Friday Retail Management: micro-frontend ERP so teams could ship independently without breaking the whole system. React, TypeScript, Redux, AG Grid.
⭐Master Your Medics: cross-platform EMS exam-prep app, shared logic across web and mobile. React Native, Redux Saga, Node.js, PostgreSQL
𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤
I don't believe in overengineering.
I ask the right questions before writing the first line of code, keep communication clear throughout the project, and make technical decisions based on your business goals not personal preferences or trends.
Whether you're validating a startup idea, replacing an outdated system, integrating AI into your product, or preparing your platform for growth, I take ownership from planning through deployment and beyond.
𝐄𝐯𝐞𝐫𝐲 𝐠𝐨𝐨𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐨𝐧𝐞 𝐠𝐨𝐨𝐝 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧. 𝐋𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤 𝐚𝐛𝐨𝐮𝐭 𝐲𝐨𝐮𝐫𝐬 🙂
Full-Stack Development | AI Engineering | MVP Development | SaaS Development | React | React Native | Next.js | TypeScript | JavaScript | Node.js | Express.js | NestJS | Python | PostgreSQL | MongoDB | AWS | AWS Amplify | AWS EC2 | Google Cloud Platform | Firebase | CI/CD | REST API Development | API Integration | LLM Integration | Agentic AI | AI Workflow Automation | Micro-Frontend Architecture | Redux | Redux Saga | Database Design | Payment Integration | Founding Engineer | Cross-Platform App Development | Cloud Infrastructure | System Architecture | Performance Optimization |
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Scope the AI use case and pick the best-fit model.
We define exactly what the AI should do and which model fits your use case and budget. You share your stack and data so I can plan the integration.
Set up model access and prepare data for retrieval.
I set up model access and, for retrieval builds, prepare your data and the vector pipeline so answers stay grounded in your real content.