You will get a Custom Gen AI Model Fine-Tuning (GPT, LLaMA, Mistral, Domain Specific)
Top Rated
Project details
I will fine-tune state-of-the-art generative AI models (GPT, LLaMA, Mistral, etc.) to meet your unique business or research needs. Whether you need a domain-specific chatbot, content generator, knowledge assistant, or task automation tool, I will adapt advanced AI models with your dataset for maximum accuracy and relevance.
The process includes data preparation, model training, optimization, and testing to ensure high-quality results. Fine-tuning enables the AI to understand your context, tone, and domain-specific requirements—whether legal, medical, educational, e-commerce, or enterprise.
You will receive a customized, production-ready AI model, complete with testing results and integration guidance. My goal is to deliver a model that is not only technically powerful but also practical, user-friendly, and aligned with your goals.
This service is perfect for businesses and researchers looking to transform generic AI into a specialized, high-value solution.
The process includes data preparation, model training, optimization, and testing to ensure high-quality results. Fine-tuning enables the AI to understand your context, tone, and domain-specific requirements—whether legal, medical, educational, e-commerce, or enterprise.
You will receive a customized, production-ready AI model, complete with testing results and integration guidance. My goal is to deliver a model that is not only technically powerful but also practical, user-friendly, and aligned with your goals.
This service is perfect for businesses and researchers looking to transform generic AI into a specialized, high-value solution.
AI Algorithms
Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Self-Organizing Map, Transformer Model, Variational AutoencoderAI Applications
AI Content Creation, AI-Generated Art, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Speech Synthesis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Jasper AI, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlowAI Models
BERT, BLOOM, ChatGPT, Dolly, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 4 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 - $150
Additional Revision
+$50
Custom Service
+$50Frequently asked questions
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JM
Jesse M.
Jun 18, 2026
App deployment
Halza goes above and beyond for your job, he did alot of things out of original scope of job and his technical skills are a marvel. I could never have done it without him. While going through the hardest point of my life he was understanding and more then patient. Absolutely brilliant cant recommend any kore highly. Hire hamza you wont regret it!
JR
Justin R.
Jun 16, 2026
Platform upload
Hamza was and is a pleasure to work with. Very professional and knowledgeable in his field of work.
SS
Steve S.
Apr 3, 2026
Python Programmer with Langchain Experience Needed
Hamza is great professional with good transparency and quality work.
RM
Rony M.
Mar 28, 2026
AI Prompt Expert for OCR Data Extracted Output
project done
RM
Rony M.
Mar 7, 2026
AI Prompt Expert for OCR Data Extracted Output
nice work
About Hamza
Generative AI Engineer & Full-Stack Web Developer
100%
Job Success
Dagenham, United Kingdom - 2:17 am local time
🔹Generative AI & Applied Research
I have hands-on expertise with Large Language Models (LLMs) such as GPT, LLaMA, and Mistral, specializing in:
Fine-tuning, evaluation, and quantization for efficiency.
Building Retrieval-Augmented Generation (RAG) pipelines with vector databases (FAISS, Chroma, Pinecone).
Developing multimodal AI systems integrating text, images, audio, and video.
Designing advanced chatbots and assistants with contextual memory, voice interaction, and personalized responses.
Implementing AI for document summarization, translation, Q&A, and OCR-driven processing.
Leveraging Hugging Face, LangChain, Ollama, and other frameworks for enterprise AI deployments.
I focus on transforming cutting-edge research into real-world applications, ensuring each solution is reliable, efficient, and scalable.
🔹Full-Stack Web & Mobile Development
Beyond AI, I specialize in building the platforms that deliver AI to end users. I design and develop complete frontend and backend systems that make advanced AI tools accessible:
Frontend: React.js, Next.js, Tailwind CSS, TypeScript → responsive, modern, and interactive user interfaces.
Backend: Node.js, FastAPI, Express.js → scalable APIs, secure integrations, and real-time communication.
Databases & Storage: MongoDB, PostgreSQL, Firebase → structured and unstructured data handling.
Mobile Apps: React Native, Kotlin, and Android → cross-platform apps with native performance.
DevOps & Deployment: Docker, Kubernetes, AWS, GCP → secure, production-ready hosting.
UI/UX for AI: Designing intuitive dashboards, chat interfaces, and analytics panels tailored for AI-driven applications.
This full-stack expertise ensures I don’t just build the AI engine — I also create the interfaces, dashboards, and mobile/web experiences that make AI practical and impactful for real users.
🔹Key Strengths & Capabilities
LLMs: GPT, LLaMA, Mistral → fine-tuning, embeddings, optimization.
RAG & Vector Databases: FAISS, Chroma, Pinecone.
Multimodal AI: speech-to-text, text-to-speech, OCR, image-to-text.
AI Applications: chatbots (text + voice), assistants, summarization tools, translation, recommendation systems.
Full-Stack Development: React.js, Next.js, Tailwind, Node.js, FastAPI, Express.js.
Mobile Development: React Native, Kotlin, Android.
DevOps: Docker, Kubernetes, AWS, GCP, CI/CD pipelines.
Data Security: local hosting, privacy-first architectures, policy-driven systems.
Research to Product: prototype design, whitepapers, applied research, SaaS platforms.
🔹Industry Applications Delivered
I have successfully delivered AI-powered platforms and web/mobile apps across:
Healthcare – patient chatbots, medical document summarization.
Education – bilingual AI tutors, university chatbot platforms.
Finance – fraud detection support, AI-based document parsing.
Legal – contract summarization, knowledge-driven assistants.
Marketing & Customer Support – multilingual chatbots, voice-enabled service agents, data-driven analytics.
🔹My Philosophy
I believe AI is only as powerful as the experience delivered to users. That’s why I combine scientific AI expertise with end-to-end software engineering, ensuring businesses not only get powerful AI engines but also beautiful, intuitive, and scalable platforms to deploy them.
If you are looking for someone who can design, build, and deploy AI-powered web or mobile applications from the ground up, I can help you turn your ideas into real-world, production-ready solutions.
Let’s collaborate to build the next generation of Generative AI-powered platforms.
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Collection
Review the dataset, base model preference, and client goals provided. Clarify any details if needed.
Data Preparation & Preprocessing
Clean, structure, and format the dataset to ensure it’s ready for fine-tuning.