You will get Enterprise AI Agent Integration or Custom RAG Pipeline
Project details
Stop relying on basic chatbots. Automate operations with enterprise-grade AI architecture, production RAG pipelines, and autonomous multi-agent networks designed for high-velocity execution and strict data privacy.
I am a Full Stack Engineer and AI Systems Architect. I build custom enterprise AI solutions that execute reasoning tasks, query private data, and read/write directly to your infrastructure via secure API integrations.
THE AI INFRASTRUCTURE & TECH STACK I UTILIZE:
• Agentic Frameworks: LangGraph, LangChain, custom code-first TypeScript/Python multi-agent workflows.
• Vector Databases & RAG: Pgvector (PostgreSQL), Supabase, Pinecone, Qdrant for semantic search, metadata filtering, and chunking.
• LLM Orchestration: Claude, OpenAI API, Gemini, and fine-tuned open-weight local LLMs.
• Backend & Infrastructure: Node.js, Go, Python, Docker containers, Docker Swarm, and Dokploy.
• Workflow Automation: n8n (self-hosted on Hetzner VPS to eliminate execution limits and lower API overhead), webhooks, and REST APIs.
Get secure, containerized AI pipelines built for deployment on AWS, GCP, or Hetzner bare metal. Let's scale your operational leverage.
I am a Full Stack Engineer and AI Systems Architect. I build custom enterprise AI solutions that execute reasoning tasks, query private data, and read/write directly to your infrastructure via secure API integrations.
THE AI INFRASTRUCTURE & TECH STACK I UTILIZE:
• Agentic Frameworks: LangGraph, LangChain, custom code-first TypeScript/Python multi-agent workflows.
• Vector Databases & RAG: Pgvector (PostgreSQL), Supabase, Pinecone, Qdrant for semantic search, metadata filtering, and chunking.
• LLM Orchestration: Claude, OpenAI API, Gemini, and fine-tuned open-weight local LLMs.
• Backend & Infrastructure: Node.js, Go, Python, Docker containers, Docker Swarm, and Dokploy.
• Workflow Automation: n8n (self-hosted on Hetzner VPS to eliminate execution limits and lower API overhead), webhooks, and REST APIs.
Get secure, containerized AI pipelines built for deployment on AWS, GCP, or Hetzner bare metal. Let's scale your operational leverage.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$650
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 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
+$50 - $500Frequently asked questions
About Ali
Full Stack Engineer & AI Integration Specialist (Next.js / Go / LLMs)
Shekhupura, Pakistan - 8:28 pm local time
I am a Full Stack Software Engineer and AI Systems Architect specializing in designing high-performance, ultra-scalable web applications and custom agentic AI pipelines. I don't just build UI components; I engineer complete, end-to-end architectures designed for speed, security, and long-term maintainability.
Whether you need a blazing-fast web platform powered by Next.js and Go, or an advanced Retrieval-Augmented Generation (RAG) system using local or cloud-based LLMs, I deliver robust production solutions.
--- What I Bring to Your Project ---
• Core Technical Stack: Next.js, React, TypeScript, Node.js, and high-performance backends in Go (Golang) and Bun/Elysia.
• AI & Automation Ecosystem: Production-ready RAG pipelines, Agentic orchestration, Local LLMs, and custom Model Context Protocol (MCP) implementations.
• Infrastructure & Devops: Containerized deployments using Docker/Docker Swarm, Dokploy, secure cloud architecture (AWS, GCP, Hetzner), and automated CI/CD pipelines.
• Database Mastery: Optimized transactional and caching layers using PostgreSQL, MongoDB, MySQL, and Redis.
• High-Performance Engineering: Advanced concurrency patterns, race-condition mitigation, distributed systems architecture, and memory-efficient codebases.
--- How We Can Work Together ---
1. Green-Field Product Development: Turning complex product specs into production-ready, highly secure web applications.
2. System Migrations & Modernization: Rewriting legacy codebases into high-performance architectures (e.g., frontend state optimization, microservices migrations).
3. AI Feature & Agent Integration: Building intelligent, context-aware automation tools that deeply integrate with your proprietary business data.
I focus heavily on clean architecture, type safety, and strict security best practices. Let's schedule a brief consultation to discuss your technical challenges and map out a bulletproof strategy for your product.
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & System Design
I will review your requirements and design the technical blueprint, mapping out the agent routing, database schema, and API connections before writing a single line of code.
Development & Tool Integration
I will build the core RAG pipeline, connect the required LLMs (OpenAI/Anthropic/Local), and engineer the custom tool calls so your agents can take real actions.