You will get an AI integration audit and implementation roadmap for your app
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Top Rated
Project details
I’ll review your existing app, workflow, APIs, and data to identify where AI can create the most value without adding unnecessary complexity.
You’ll receive a practical AI integration plan covering architecture, recommended models, APIs, risks, timeline, and estimated implementation cost. Higher tiers can include implementation, safeguards, logging, monitoring, and production handoff.
This is not a generic AI consultation. I approach the project as a full-stack AI engineer, so recommendations account for the software around the AI too: backend, authentication, data flow, permissions, billing, integrations, human review, and deployment.
The goal is simple: a clear path from your current product to a production-ready AI system.
You’ll receive a practical AI integration plan covering architecture, recommended models, APIs, risks, timeline, and estimated implementation cost. Higher tiers can include implementation, safeguards, logging, monitoring, and production handoff.
This is not a generic AI consultation. I approach the project as a full-stack AI engineer, so recommendations account for the software around the AI too: backend, authentication, data flow, permissions, billing, integrations, human review, and deployment.
The goal is simple: a clear path from your current product to a production-ready AI system.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$2,500
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | |||
Source Code | - | - | |
Taxonomy | - | - |
Frequently asked questions
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LQ
Laith Q.
Aug 1, 2026
Senior Fintech Engineer — AI Financial Intelligence Layer (Saudi Arabia Market)
Mujtaba is technically capable and can build features quickly. The core issues were quality control and ownership. Work was repeatedly presented as complete without being tested, which created problems during time-sensitive external commitments. When this was raised, the response was that I should have taken more control of the product myself. That is the reason I hired a senior engineer. If he needed input or specifications from me to deliver properly, he never asked. Commitments on meeting times and deliverable timelines were not consistently met. A confidential document belonging to another client was also sent to me in error during the engagement. I would recommend building in your own testing and verification process if you work with him.
DR
David R.
Jun 9, 2026
Lightweight AI Deal Flow Dashboard
Mujtaba was great to work with! Fast, responsive, great work.
BR
Ben R.
Jun 8, 2026
HVAC Pricing & Installation Builder App – Full Build
Mujtaba has worked on several projects with me, he is a true professional who deeply cares about the quality of work he puts out. I’d highly recommend him.
TN
Thao Nhi N.
Jun 8, 2026
AI Automation/Engineering for Restaurant Marketing
Discovering Mujtaba has been a huge win for our team. He has been nothing but professional, extremely knowledgable, efficient with dev and solutions and great with communication. I would highly recommend him for your project. I look forward to working with him again on our next milestones.
PG
Pau G.
Jun 2, 2026
AI-Native Full-Stack Developer - Initial Test Project for SaaS Platform (Prototype → Production)
About Mujtaba
Agentic AI Engineer | Voice Agents, RAG, MCP | Claude, OpenAI, GPT
97%
Job Success
Lahore, Pakistan - 12:29 pm local time
I build production agentic AI systems across voice, RAG, MCP, and business workflows. Recent work includes a healthcare voice system connected to admissions and CRM workflows, a source-grounded RAG platform managing 1,682+ documents and multi-model content pipelines running at production volume.
I engineer the full path from model response to completed workflow: retrieval, tool use, integrations, evaluation, monitoring, and deployment.
𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗
𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜 𝗦𝗬𝗦𝗧𝗘𝗠𝗦
• Claude and OpenAI agents with tool calling and multi-step execution
• MCP integrations connecting agents to business tools and private data
• Agent orchestration, memory, evaluations, monitoring, and fallback logic
• CRM, email, database, payment, and internal-system automation
𝗩𝗢𝗜𝗖𝗘 𝗔𝗚𝗘𝗡𝗧𝗦
• Inbound and outbound AI agents for support, intake, and qualification
• Appointment booking, call routing, CRM updates, and follow-ups
• Transcription, summaries, structured lead capture, and staff handoff
• Twilio, Vapi, Retell, ElevenLabs, and OpenAI Realtime integrations
𝗥𝗔𝗚 & 𝗗𝗢𝗖𝗨𝗠𝗘𝗡𝗧 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗖𝗘
• Document ingestion, OCR, chunking, embeddings, and vector retrieval
• Source-grounded answers with citations
• Semantic search across policies, contracts, forms, and internal knowledge
• Permissions, audit trails, evaluation datasets, and review workflows
𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗔𝗜 𝗔𝗣𝗣𝗟𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦
• AI features added to existing web and mobile products
• APIs, dashboards, authentication, permissions, and billing
• Multi-tenant applications and internal operational tools
• Existing AI prototypes completed, integrated, and deployed
𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗪𝗢𝗥𝗞
• 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗩𝗼𝗶𝗰𝗲 𝗦𝘆𝘀𝘁𝗲𝗺: AI intake, qualification, appointments, CRM updates, transcripts, and human handoff
• 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗥𝗔𝗚 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺: 1,682+ documents, cited answers, organization access, and audit history
• 𝗔𝗜 𝗦𝗮𝗹𝗲𝘀 𝗖𝗥𝗠: Call transcription, lead scoring, follow-ups, pipelines, and $99.5K+ in tracked revenue
• 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗔𝗜 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Image, video, voice, and copy generation producing 486 videos in one month
𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗧𝗔𝗖𝗞
AI and agents: Claude, OpenAI, Gemini, MCP, LangChain, LlamaIndex, RAG
Voice: Twilio, Vapi, Retell, ElevenLabs, OpenAI Realtime
Backend: Python, FastAPI, Node.js, REST APIs, GraphQL, WebSockets
Data: PostgreSQL, Supabase, Redis, MongoDB, Pinecone, Qdrant
Applications: Next.js, React, TypeScript, React Native
Infrastructure: AWS, Docker, Vercel, CI/CD, logging, and monitoring
I start with the workflow and the actions the system must complete, then build the smallest production slice that proves it. Delivery includes testing, monitoring, and documentation so your team can operate and extend the system.
If you are building an agentic AI system, adding AI to an existing product, or automating a workflow across your stack, send me what exists and what the system needs to complete.
Steps for completing your project
After purchasing the project, send requirements so Mujtaba can start the project.
Delivery time starts when Mujtaba receives requirements from you.
Mujtaba works on your project following the steps below.
Revisions may occur after the delivery date.
App & workflow audit
Review your product, codebase, data, APIs, and workflow to identify the best AI opportunities.
Architecture & costed roadmap
Deliver a prioritized plan covering scope, architecture, models, integrations, timeline, and estimated cost.