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You will get Claude Code agent setup for your engineering team

Abdul H.Status: Offline
Abdul H. Abdul H.
Preview image

Let a pro handle the details

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

Let a pro handle the details

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

Project details

Need help setting up Claude Code properly for your development team?

I will configure Claude Code to work efficiently with your repositories, coding standards, workflows, and engineering processes. Whether you're an individual developer, startup, or software team, I can help you get the most out of AI-assisted development.

The setup includes repository configuration, project instructions, development workflows, coding standards, documentation guidance, and best practices that improve productivity and code quality.

What You Will Get

✔ Claude Code Configuration

✔ Repository Rules & Instructions

✔ Development Workflow Setup

✔ Coding Standards & Best Practices

✔ AI-Assisted Development Optimization

✔ Documentation & Team Guidelines

✔ GitHub/GitLab Integration Support

✔ Code Review Workflow Recommendations

✔ Team Onboarding Guidance

Supported Technologies
Claude Code
GitHub
GitLab
Node.js
TypeScript
React
Next.js
Express
PostgreSQL
MongoDB
AWS

The final setup will be tailored to your engineering workflow, helping your team build faster, maintain consistency, and improve collaboration.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Content Creation, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, Replit, Streamlit
AI Models
AlphaCode, ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI Codex
What's included
Service Tiers Starter
$250
Standard
$750
Advanced
$1,500
Delivery Time 3 days 7 days 14 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
Image Upscaling
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MLOps
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Model Deployment
-
Model Documentation
Model Monitoring
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Model Testing & Optimization
-
Model Tuning
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Natural Language Processing
NLP Tokenization
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Pre-Training
-
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Prompt Engineering
Setup File
Source Code
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Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $300
Additional Revision
+$50
Additional Repository Setup (+ 2 Days)
+$250
GitHub Actions & CI/CD Setup (+ 3 Days)
+$400
Engineering Standards Setup (+ 2 Days)
+$300
Abdul H.Status: Offline

About Abdul

Abdul H.Status: Offline
AI/LLM Engineer | RAG, AI Agents, MCP Servers | Full-Stack Architect
Karachi, Pakistan - 2:20 am local time
I build production AI/LLM systems — RAG pipelines, multi-agent workflows, and MCP integrations that ship reliably and keep token costs predictable. 11+ years of full-stack architecture underneath means the AI runs on infrastructure that scales, not on a demo notebook.

Recent work:
• Stateful multi-agent workflows in LangGraph with MCP-based tool integration and hybrid RAG (pgvector + reranking) — production teams query historical manufacturing data in plain English
• LLM evals, tracing, and prompt caching with LangFuse that cut token spend while holding answer quality
• AI-powered anomaly detection and automated reporting on live production-monitoring systems (Python, FastAPI, GPT-4, Llama)

I'm strong on the parts demos skip: evals and observability (LangSmith/LangFuse), fallbacks, rate limiting, and FinOps cost monitoring — so what we launch keeps working at real traffic.

Stack: Python (FastAPI), TypeScript/Node.js (NestJS), React/Next.js, LangChain, LlamaIndex, LangGraph, pgvector, Pinecone, PostgreSQL, Kubernetes, Terraform, AWS/Azure/DigitalOcean.

How I work: clear scope before code, funded milestones, updates twice a week, and honest calls on what an LLM can and can't do for your use case.

Adding AI to an existing product, building an AI-first SaaS, or need agents that plug into your tools via MCP? Message me with what you're trying to build — I'll reply with an honest take and a plan.

Steps for completing your project

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

Delivery time starts when Abdul receives requirements from you.

Abdul works on your project following the steps below.

Revisions may occur after the delivery date.

Repository & Workflow Assessment

Review your repositories, development stack, coding standards, and team requirements.

Claude Code Configuration

Configure Claude Code settings, project instructions, repository rules, and development workflows.

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