You will get Custom AI Agent System to Automate Complex Business Tasks
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Top Rated
Project details
Most AI agents work in a demo and break in production. I build agentic systems that survive real edge cases.
I design and ship custom AI agents and multi-agent systems that actually do work - not chat wrappers. Using LangChain, LangGraph, CrewAI/AutoGen and MCP, I build agents with memory, tool use, state management and safe handoffs, wired to your real tools (CRMs, databases, APIs).
What you get:
• A working agent (or multi-agent) system for your defined task
• Tool/function calling + API & database integration
• Memory + state management so context isn't lost
• Error handling, guardrails, and observability
• Clean, documented source code + setup guide
Tiers:
• Starter — single agent, 1–2 tools, one task type
• Standard — multi-agent, 3–5 tools, memory + state
• Advanced — full agentic pipeline with RAG, deployment, MLOps + monitoring
I review architecture before writing code, and I ship with tests so it's reliable when users depend on it. Ideal for SaaS founders and teams replacing repetitive operations with AI.
Message me your use case and I'll tell you exactly what's feasible and how I'd build it.
I design and ship custom AI agents and multi-agent systems that actually do work - not chat wrappers. Using LangChain, LangGraph, CrewAI/AutoGen and MCP, I build agents with memory, tool use, state management and safe handoffs, wired to your real tools (CRMs, databases, APIs).
What you get:
• A working agent (or multi-agent) system for your defined task
• Tool/function calling + API & database integration
• Memory + state management so context isn't lost
• Error handling, guardrails, and observability
• Clean, documented source code + setup guide
Tiers:
• Starter — single agent, 1–2 tools, one task type
• Standard — multi-agent, 3–5 tools, memory + state
• Advanced — full agentic pipeline with RAG, deployment, MLOps + monitoring
I review architecture before writing code, and I ship with tests so it's reliable when users depend on it. Ideal for SaaS founders and teams replacing repetitive operations with AI.
Message me your use case and I'll tell you exactly what's feasible and how I'd build it.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Code, AI-Generated Video, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, Naive Bayes ClassifierWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,200
|
Advanced
$3,800
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $300Frequently asked questions
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DF
Darren F.
Jun 30, 2026
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Taran S.
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About Muhammad
Agentic AI Engineer | AI Agents . RAG . MCP . Claude Code . n8n
100%
Job Success
Lahore Cantt, Pakistan - 6:56 am local time
I'm an AI Engineer who builds reliable AI systems. My specialty is the layer where most projects fail: agent orchestration that survives real edge cases, RAG that retrieves accurately under load, and models that are measured, not just demoed.
And I go deeper than most: real ML - LLM fine-tuning (LoRA/PEFT, 8B→70B on A100/H100), evaluation harnesses, and MCP-based agent tooling. That means production AI that's grounded, observable, and reversible.
Background: Contracted as Principal AI Product Architect for a UK SaaS company — architected the automation engine that saved clients $12K/month and replaced 2–3 FTEs of manual work. Top Rated on Upwork with 100% Job Success.
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➤ WHAT I BUILD
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✔ Agentic Systems & Multi-Agent Orchestration
LangGraph · CrewAI · AutoGen · MCP | tool use, memory, state, human-in-the-loop
→ Deployed agents replacing 2–3 FTEs of repetitive operations
✔ Production RAG (Grounded, Not "PDF Chatbots")
Pinecone · FAISS · Milvus · pgvector | hybrid retrieval, reranking, citations, eval gates, "I don't know" when sources are silent
→ Cut support tickets 40% for a SaaS client
✔ MCP & Claude Code Engineering
MCP servers/integrations · Claude Code workflows · function calling · tool contracts
→ Agent tooling that's reliable and testable
✔ LLM Fine-Tuning & MLOps
LoRA/PEFT · TRL · quantization · vLLM-style serving · eval harnesses · CI/CD
→ Domain LoRA on DeepSeek-R1-Distill-Llama, 8B→70B, packaged adapters
✔ AI Voice Agents
Vapi · Retell · ElevenLabs · Twilio | inbound/outbound, booking, routing
→ Human-sounding agents wired to calendars + CRM
✔ n8n / Workflow Automation
Multi-step logic · CRM · lead pipelines · AI-triggered flows
→ 25+ hrs/week saved per client · 35% lead conversion lift
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➤ MY STACK
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- Agents: LangChain · LangGraph · CrewAI · AutoGen · MCP · Claude Code
- Models: OpenAI · Anthropic Claude · DeepSeek · open-source LLMs
- Fine-Tuning: LoRA/PEFT · TRL · bitsandbytes · quantization · eval harnesses
- RAG: Pinecone · FAISS · Milvus · PostgreSQL + pgvector · hybrid + rerank
- Voice: Vapi · Retell · ElevenLabs · Twilio · Whisper
- Automation: n8n · Make · Zapier · Webhooks · REST APIs
- Backend: Python · FastAPI · Node.js
- Cloud/MLOps: AWS (Certified) · GCP · Docker · Kubernetes · CI/CD · AWS Bedrock
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➤ BEST FIT FOR
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→ SaaS founders embedding AI agents into their product
→ Teams needing grounded, cited RAG (legal/finance/regulated)
→ Companies needing MCP / Claude Code agent engineering
→ Businesses deploying AI voice agents for calls & bookings
→ Anyone who needs AI that survives real usage
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Not sure what to build first? Send me your workflow or use case - I'll map 2–3 high-impact AI wins for free, then you decide.
I review architecture before writing a single line of code. If you want AI that works when users depend on it - click Invite and describe the problem
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.
Agent Workflow Discovery & Architecture
I review your current manual process, identify where the AI agent should make decisions, define tool/API access, and map the full agent workflow before development.