You will get improved and optimized accuracy of your RAG system
Project details
We've a deep, hands-on understanding of both the retrieval and generation layers, backed by real-world experience improving the performance of complex, production-grade AI systems. We I fine-tune every component, from chunking strategies and embedding optimization to hybrid retrieval, reranking, and prompt engineering. Our work focuses on tangible accuracy gains using proven techniques like semantic search refinement, memory management, and model tuning.
AI Algorithms
Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, Automatic Speech Recognition, Natural Language Generation, Natural Language Understanding, Object Detection, Sentiment Analysis, Text Recognition, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, Jasper AI, PyTorch, Replit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-4, LLaMA, Midjourney AI, Stable Diffusion, WhisperWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 7 days
- Model Monitoring
- Model Testing & Optimization
- Natural Language Processing
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Natasha R.
Mar 23, 2026
Build AI-Powered Report Generation Tool for Complaints (UK)
Abdul did what he could but we just couldn't get the project finished to the standard required. He invested so much time in it, it was a real shame that we could not get it over the line.
FC
Feng Lin C.
Sep 19, 2025
N8n Automation Expert Needed for Workflow Development
It was a great experience working on the N8n Automation project. The workflow development was smooth and well-structured. The task was clearly defined, and communication was excellent throughout. I truly enjoyed implementing automation solutions and optimizing workflows. Looking forward to more N8n and automation-related tasks in the future.
YB
Yasser B.
Feb 12, 2025
GenCast Weather Prediction Deployment
Abdul Rehman did an excellent job successfully deploying the Gencast model. Highly recommended!
NA
Nujud A.
May 28, 2023
2 developers fullstack Java and Vue JS
Abdulrahman is great person to work with, he provide us with great team and kept monitoring their progress. I will definitely hire them again for any more tasks in future
GR
Gerardo R.
Jan 24, 2023
Java/Spring Team Lead
The tasks were completed diligently.
About Abdul
AI Agent & Automation Architect | Python, LangGraph, n8n, RAG
75%
Job Success
Lahore, Pakistan - 2:57 pm local time
They run 24/7 with minimal oversight while maintaining complete visibility, control, and audit trails.
Delivered In Production:
- Multi-agent workflow processing 50K+ tasks daily for logistics company
- LangGraph multi-agent system coordinating customer service, appointment scheduling, and follow-ups (reduced response time by 75%)
- n8n orchestration managing 200+ daily automation workflows across Slack, email, and project management tools
- RAG implementation for legal firm: 50K documents indexed, instant case law retrieval
AI Agent & Automation Expertise:
- LangGraph architectures: Stateful agents with complex routing and decision trees
- Multi-agent coordination: Supervisor patterns, tool delegation, and consensus mechanisms
- Production RAG: Hybrid search, re-ranking, and hallucination prevention
- n8n expertise: Complex workflows with error handling, retries, and monitoring
- Python engineering: Async processing, queue management, and performance optimization
Technical Stack:
- Orchestration: n8n (expert level), LangGraph, LangChain, custom Python frameworks
- Voice/Conversational: Vapi, Twilio, ElevenLabs, real-time STT/TTS
- LLMs & RAG: GPT-4, Claude, Pinecone, Weaviate, ChromaDB
- Development: Python, FastAPI, async processing, webhook management
- Integrations: CRM systems (HubSpot, Salesforce), Google Workspace, Zapier, Make
What Makes My Systems Different:
- Stateful intelligence: LangGraph agents that remember context across sessions
- Bulletproof automation: n8n workflows with comprehensive error handling
- Production-ready code: Type-safe Python, full test coverage, CI/CD pipelines
- Gradual automation: Start simple, scale intelligently based on ROI metrics
Recent work: Built LangGraph multi-agent system for SaaS platform, automated customer onboarding, support ticket routing, and data enrichment. Processing 10K+ conversations monthly with 95% accuracy. Python codebase with full documentation and monitoring.
I ship in 2-week sprints with working prototypes by day 3. Your team gets clean Python code, documented n8n workflows, and full ownership. Let's discuss your automation challenges.
Specializations: LangGraph, Python, n8n, RAG, Multi-Agent Systems, LangChain, Workflow Automation, API Integration
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.
Evaluate Current System
A thorough audit of the existing RAG pipeline. Analyze retrieval relevance, generation quality, latency, and failure cases. Identify key accuracy bottlenecks, such as irrelevant chunks, prompt misalignment, or weak embedding models.
Optimize Document Chunking & Embeddings
Reprocess source documents using optimal chunk sizes and high-performing embedding models. Parent–child chunking strategy and precise embeddings significantly improve semantic matching during retrieval.