You will get a production-ready RAG pipeline for your AI application
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Top Rated
Project details
Struggling with an AI chatbot that gives outdated or irrelevant answers? The issue is usually the retrieval layer and thatโs exactly what I fix.
I build production-ready ๐น๐จ๐ฎ (๐น๐๐๐๐๐๐๐๐-๐จ๐๐๐๐๐๐๐๐ ๐ฎ๐๐๐๐๐๐๐๐๐) ๐๐๐๐๐๐๐๐๐ that connect your LLM to your real data (documents, databases, knowledge bases) so it responds accurately and reliably.
๐๐๐๐ ๐๐๐ ๐๐๐:
โ Custom RAG pipeline tailored to your use case
โ Vector DB setup (Pinecone, Weaviate, Chroma, or FAISS)
โ Data ingestion, chunking, and embeddings
โ LLM integration (GPT-4, Claude, Gemini, etc.)
โ Semantic or hybrid search with tuning
โ Cost and latency optimization
โ Clean code, docs, and deployment support
๐๐๐๐๐๐๐๐๐๐:
Built RAG systems for legal search, enterprise knowledge bases, customer support bots, and financial Q&A.
๐๐๐ ๐๐:
I focus on retrieval quality, chunking, and ranking because RAG is only as good as what it retrieves.
Message me before ordering for large or complex datasets.
I build production-ready ๐น๐จ๐ฎ (๐น๐๐๐๐๐๐๐๐-๐จ๐๐๐๐๐๐๐๐ ๐ฎ๐๐๐๐๐๐๐๐๐) ๐๐๐๐๐๐๐๐๐ that connect your LLM to your real data (documents, databases, knowledge bases) so it responds accurately and reliably.
๐๐๐๐ ๐๐๐ ๐๐๐:
โ Custom RAG pipeline tailored to your use case
โ Vector DB setup (Pinecone, Weaviate, Chroma, or FAISS)
โ Data ingestion, chunking, and embeddings
โ LLM integration (GPT-4, Claude, Gemini, etc.)
โ Semantic or hybrid search with tuning
โ Cost and latency optimization
โ Clean code, docs, and deployment support
๐๐๐๐๐๐๐๐๐๐:
Built RAG systems for legal search, enterprise knowledge bases, customer support bots, and financial Q&A.
๐๐๐ ๐๐:
I focus on retrieval quality, chunking, and ranking because RAG is only as good as what it retrieves.
Message me before ordering for large or complex datasets.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 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 |
Frequently asked questions
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HZ
Husn e Z.
Jul 1, 2026
Fix Hallucination & Embedding Drift in Production RAG System
Nailed the hallucination and drift fixes, and even threw in dashboards to monitor and reindex drift without being asked. Great communication, delivered on time. Would hire again in a heartbeat.
LN
Lucas N.
Jan 31, 2026
C# Developer Needed for Law Firm Case Management System
I really appreciate Aqdas's help and hope to work with him again in the future.
WS
We Think Beautiful S.
Dec 18, 2025
Next.js & Tailwind CSS Developer Needed for Website Build from Figma Design
Thank you again for your work!
FO
Fraser O.
Jan 18, 2025
Long Term C#/.NET programmer, full stack experience required
Aqdas worked full time for me for four months and did an excellent job. He was always on top of things, suggesting great ideas, going above and beyond and easy to work with. He has great skill in the technologies we worked with and is always focused on making sure I was happy with the work he did.
Highly recommend for your project, I will be hiring him again.
Highly recommend for your project, I will be hiring him again.
SJ
Sol J.
Jul 2, 2024
Full Stack Web Developer for a Financial Web Platform
It was fantastic working with Aqdas. He completed the job successfully and on time. I will gladly work with him again in the future if given the chance
About Aqdas
AI Architect | Agentic AI | ML | Full Stack | Python/Node.js/.NET
100%
Job Success
Lahore, Pakistanย - 2:51 pm local time
I am an AI Architect and Full Stack Engineer with 18+ years of experience designing and delivering production-grade software systems across SaaS, FinTech, Healthcare, Legal, and enterprise platforms. My focus today is building ๐๐ ๐๐ง๐ญ๐ข๐ ๐๐ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ, ๐๐๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐๐-๐ฉ๐จ๐ฐ๐๐ซ๐๐ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ๐ฌ, ๐๐ง๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐ฌ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ that actually work in real-world environments.
I donโt build prototypes, I build production AI systems with real users, real load, and real constraints.
๐ค ๐๐/๐๐ & ๐๐๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐
โ Agentic AI systems with LangGraph, CrewAI, Agno, AutoGen, and custom multi-agent architectures
โ RAG pipelines (LangChain, LlamaIndex, pgvector, Pinecone, ChromaDB, Weaviate)
โ MCP (Model Context Protocol) servers and enterprise tool integrations
โ LLM orchestration: OpenAI, Claude, Gemini, Llama, Azure OpenAI
โ AI agents with tool use, memory, planning, and autonomous execution
โ Multi-agent workflows, human-in-the-loop systems, and agent governance
โ ML model integration and deployment: Hugging Face, scikit-learn, custom fine-tuned models
โ FastAPI backends for streaming AI responses and high-throughput inference
โ On-prem / private LLM deployments
๐ง ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ & ๐๐๐ญ๐ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ
โ Machine Learning models for prediction, classification, and recommendation systems
โ Deep learning and NLP solutions using PyTorch, scikit-learn, and Hugging Face
โ Data pipelines and AI-driven decision systems
๐๏ธ ๐๐จ๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐๐ฑ๐ฉ๐๐ซ๐ญ๐ข๐ฌ๐
โ Backend: Python, Node.js, .NET Core, NestJS
โ Frontend: JavaScript, TypeScript, React, Next.js
โ Databases: PostgreSQL, SQL Server, MongoDB, pgvector
โ Cloud: AWS, Azure, GCP: Docker, Kubernetes, CI/CD
๐ผ ๐ช๐๐ฌ ๐๐๐๐๐ก๐ง๐ฆ ๐ง๐ฅ๐จ๐ฆ๐ง ๐ ๐
โ Top Rated Plus, 100% Job Success
โ 18+ years engineering across SaaS, finance, and enterprise
โ Stack Overflow Gold badge contributor
โ I ship working systems, not just architecture docs
Let's talk about what you're building.
Steps for completing your project
After purchasing the project, send requirements so Aqdas can start the project.
Delivery time starts when Aqdas receives requirements from you.
Aqdas works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Your Data & Use Case
Review your data sources, use case, and expected outputs. Define success criteria and key queries your system must handle.
Data Ingestion & Chunking Strategy
Clean, structure, and chunk your data properly based on its type (PDFs, docs, structured data) to ensure high-quality retrieval.