You will get fine-tuned LLM or SDXL image model on your custom dataset
Project details
I will fine-tune a custom LLM on your proprietary data to build a highly accurate, domain-specific AI model for your business.
This service delivers smarter AI responses, reduced hallucinations, and real-world performance using LLM fine-tuning + RAG (Retrieval-Augmented Generation).
Perfect for AI chatbots, SaaS copilots, document Q&A, and workflow automation.
Built for accuracy, scalability, and production deployment — not just demos.
This service delivers smarter AI responses, reduced hallucinations, and real-world performance using LLM fine-tuning + RAG (Retrieval-Augmented Generation).
Perfect for AI chatbots, SaaS copilots, document Q&A, and workflow automation.
Built for accuracy, scalability, and production deployment — not just demos.
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Deep Belief Network, Feedforward Neural Network, Large Language Model, Multimodal Large Language Model, StyleGAN, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, AI-Generated Video, Conversational AI, Image Analysis, Image Processing, Image Recognition, Image UpscalingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, Midjourney AI, Naive Bayes Classifier, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$40
|
Standard
$70
|
Advanced
$99
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 9 days |
Number of Revisions | 2 | 2 | 2 |
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
+$5
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SS
Sandy S.
Jun 12, 2026
Feb22 Python Backend LangGraph Langchain Generic AI Agent for Orders and Scheduling for any business
he submitted many times mistaken code
MS
M S.
May 3, 2026
AI Agent Development Mentor Needed (LangChain + CrewAI)
Hammad has a rare, deep understanding of AI engineering — architectures, LLMs, models, tools, and how everything connects at a systems level. This isn't surface knowledge. It shows in every decision he makes.Worked with him on a complex AI project. Punctual and fully prepared every single time. LangChain, CrewAI, RAG pipelines, vector stores, FastAPI, Dockerized deployments — he didn't just use these tools, he mastered them.
The work was clean, scalable, and production-ready from day one.If you're looking to build anything serious in AI — highly recommended. Hammad is the person you want on your project.
The work was clean, scalable, and production-ready from day one.If you're looking to build anything serious in AI — highly recommended. Hammad is the person you want on your project.
SM
Sandra M.
Mar 8, 2026
Gemini Enterprise Demo & AI Agent Development
Working with this freelancer was an excellent experience from start to finish. He was professional, responsive, and highly skilled in his work. What stood out the most was his willingness to accommodate all of our desires and requirements, ensuring that every detail matched our expectations.
Communication was smooth throughout the entire process, and he was always open to feedback and adjustments. His dedication, flexibility, and commitment to delivering high-quality results made the collaboration very easy and enjoyable.
I would highly recommend him to anyone looking for a reliable and talented freelancer, and I would gladly work with him again in the future.
Communication was smooth throughout the entire process, and he was always open to feedback and adjustments. His dedication, flexibility, and commitment to delivering high-quality results made the collaboration very easy and enjoyable.
I would highly recommend him to anyone looking for a reliable and talented freelancer, and I would gladly work with him again in the future.
About Hammad
Senior AI Engineer | RAG & AI Agents | Claude Code Anthropic Certified
67%
Job Success
Abbottabad, Pakistan - 4:16 am local time
Most company chatbots hallucinate because they're guessing. Mine don't — they answer from your data.
I'm a RAG engineer who builds production Retrieval-Augmented Generation systems that ground LLMs (GPT-4o, Claude, Gemini) in your private knowledge — PDFs, databases, support docs, internal wikis — so answers come back accurate, cited, and current. Deployed and scalable in weeks, not months.
I'm also Claude Code Certified by Anthropic, which means I build and ship using Claude's own agentic coding workflows — faster iteration, fewer bugs, production-ready code from day one.
⚡ What I build
🔹 AI chatbots & knowledge-base assistants
🔹 Document Q&A over thousands to millions of files
🔹 Semantic & hybrid search engines
🔹 Internal copilots & support automation
🤖 AI Agents & Automation
🔹 Multi-agent systems — LangChain, CrewAI, AutoGen
🔹 Workflow automation — n8n, Make, webhook pipelines
🔹 Meeting notetakers, CRM automation, appointment bots
🔹 AI agents that research, execute, and report — fully autonomous
🛠 Stack: GPT-4o, Claude, Gemini, Llama · LangChain, LlamaIndex · Pinecone, Weaviate, Qdrant, ChromaDB · embeddings, reranking, evaluation (RAGAS) · FastAPI, AWS, GCP, Docker · CrewAI, FAISS · n8n, Make
📈 Proven results
✔ 85% faster customer support — GPT-4o + Pinecone RAG chatbot
(FinTech)
✔ 95% accuracy across 1M+ documents — AI retrieval pipeline
(LegalTech)
Every build ships with retrieval evaluation and accuracy testing — no hallucination roulette.
🎯 Send me your use case and your data sources. Free consultation:
I'll map the architecture, timeline, and cost. No fluff. Just systems that work.
Steps for completing your project
After purchasing the project, send requirements so Hammad can start the project.
Delivery time starts when Hammad receives requirements from you.
Hammad works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding of Your usecase
Your data and what you want the end goal