You will get LLM fine-tuning and prompt engineering for your AI application
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Top Rated
Project details
Make your LLM respond the way your application actually needs.
I will optimize your AI application using professional prompt engineering, evaluation, and LLM fine-tuning to improve response quality, consistency, formatting, task performance, and domain-specific behavior.
Not every AI problem requires model training. I will first determine whether your use case is better solved through prompt engineering, few-shot examples, model configuration, retrieval, or fine-tuning.
For suitable models and datasets, I can prepare and fine-tune an LLM using techniques such as:
Supervised Fine-Tuning • Instruction Tuning • LoRA • PEFT
This service is suitable for:
Customer-support assistants
Domain-specific AI
Classification
Information extraction
Structured JSON generation
Summarization
Writing/style adaptation
Specialized question answering
Instruction-following
Product assistants
Internal AI tools
I can work with open-weight LLMs and supported commercial model platforms, as well as Hugging Face-based training and deployment workflows.
You receive a tested optimization pipeline with measurable before/after results, rather than simply a collection of prompts.
I will optimize your AI application using professional prompt engineering, evaluation, and LLM fine-tuning to improve response quality, consistency, formatting, task performance, and domain-specific behavior.
Not every AI problem requires model training. I will first determine whether your use case is better solved through prompt engineering, few-shot examples, model configuration, retrieval, or fine-tuning.
For suitable models and datasets, I can prepare and fine-tune an LLM using techniques such as:
Supervised Fine-Tuning • Instruction Tuning • LoRA • PEFT
This service is suitable for:
Customer-support assistants
Domain-specific AI
Classification
Information extraction
Structured JSON generation
Summarization
Writing/style adaptation
Specialized question answering
Instruction-following
Product assistants
Internal AI tools
I can work with open-weight LLMs and supported commercial model platforms, as well as Hugging Face-based training and deployment workflows.
You receive a tested optimization pipeline with measurable before/after results, rather than simply a collection of prompts.
AI Algorithms
Feedforward Neural Network, Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Code, Conversational AI, Image-to-Image Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Speech Synthesis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Copy.ai, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$500
|
Standard
$800
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 12 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 |
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AR
Anissa R.
May 19, 2026
AI Engineer for development of internal tools
Muntaha is a talented AI specialist - I highly recommend working with her and hope to work with her again in the future. She successfully built the infrastructure and training pipeline for an in-house ai powered image recognition model that has impressed all of the developers I have worked with on integrating and deploying the model into my existing tech stack.
PF
Patrick F.
May 7, 2026
Multimodal AI Engineer (Prompt Systems + Image Generation)
Excellent work! Would use again.
BB
Benjamin B.
Apr 27, 2026
Surgical Procedure Matching between Hospital and Standard Listing
We had an excellent experience working with this contractor. The surgical procedure matching between hospital and surgery was completed successfully, and every request was handled thoroughly and professionally. What stood out most was their approach—they didn’t just execute tasks, but took the time to fully understand our requirements and recommend the best solution using current technologies. That level of insight and ownership gave us a great deal of confidence throughout the project. I would absolutely work with them again and highly recommend them to others.
LL
Lotus L.
Apr 18, 2026
AI/Data Engineer
AM
Abel M.
Apr 17, 2026
Workflow Updates
Excellent work again thank you highly recommended
About Muntaha
AI Engineer | AI Agents, Multimodal LLMs, RAG, NLP, Deep Learning, CV
100%
Job Success
Karachi, Pakistan - 2:37 pm local time
I specialize in building end-to-end AI solutions across Generative AI, multimodal LLMs, LangChain, RAG pipelines, Computer Vision, NLP, Speech AI, AI automation, and scalable SaaS development. From fine-tuning custom models to designing robust backend systems and deploying cloud-based applications, I deliver solutions that are practical, reliable, and built for real-world use.
I develop:
* RAG systems and enterprise search platforms
* Custom AI chatbots and LLM-powered assistants
* AI automation workflows and business process integrations
* Document AI and OCR pipelines
* Computer Vision and medical imaging applications
* Speech-to-text, text-to-speech, and voice-enabled assistants
* Generative image and video AI solutions
* AI SaaS platforms, internal business tools, dashboards, marketplaces, MVPs, and API-driven products
My work covers the full product lifecycle: AI strategy, architecture, model selection, prompt engineering, LoRA and fine-tuning, backend logic, API development, database optimization, automation, deployment, and long-term scalability.
Alongside AI-first development, I also build complete software products using FastAPI, Flask, Node.js, Next.js, Supabase, Bubble io, Lovable AI, React, and modern cloud platforms such as AWS, GCP, and Azure.
⚙️ Tech Stack & Skills
Programming: Python
AI Frameworks: PyTorch, TensorFlow, Keras, LangChain
LLMs & RAG: OpenAI GPT-4/GPT-5, LLaMA, Gemini, Claude, Mistral, semantic search with embeddings, keyword search with BM25, hybrid retrieval, RAG pipelines
Generative AI: Stable Diffusion, DALL·E, LoRA, AUTOMATIC1111, DreamBooth, ComfyUI, Hugging Face models, GANs, CycleGAN, VAEs
Computer Vision: Transformers, OpenCV, MediaPipe, OCR, CNNs, Autoencoders, YOLO
3D Data: Open3D, PyTorch3D, 3D U-Net, depth estimation, point cloud processing
Machine Learning: Scikit-learn, XGBoost, classification, regression, clustering, traditional ML models
NLP: spaCy, NLTK, Word2Vec, TF-IDF, LSTM, RNN, GRU
Speech AI: Whisper, Coqui TTS, Google Cloud Speech, Azure Cognitive Services, Amazon Polly
Databases & Vector Stores: PostgreSQL, MySQL, MongoDB, Pinecone, ChromaDB, FAISS, Supabase
Backend Engineering & MLOps: FastAPI microservices, Flask APIs, OpenAPI specification and code generation, CI/CD with GitLab, Python packaging with UV and Poetry, ML data pipelines, MLOps best practices
Deployment: Docker, AWS, GCP, Azure, MLflow, Runpod
Frontend & Product Development: Streamlit, HTML/CSS, Webflow, Lovable AI, Bubble io, React
Backend & Full-Stack: Flask, FastAPI, Node.js, Next.js, Supabase
Mobile Apps: Flutter
Automation & Workflows: n8n, Zapier, Make, Claude Code, OpenClaw, custom pipeline orchestration
🌟 Why Clients Hire Me
✅ 130+ successful projects and a 100% Upwork Job Success Score
✅ Strong expertise across AI, software engineering, automation, and cloud deployment
✅ Clean code, optimized models, rigorous testing, and on-time delivery
✅ Scalable, production-ready systems built for real business needs
✅ Strategic product thinking, not just technical implementation
✅ Clear communication, transparent workflows, and consistent progress updates
I care deeply about communication, clean architecture, and long-term stability, not just making something “work.” I focus on building solutions that are maintainable, scalable, and aligned with business goals.
Many of my clients return for additional projects because I stay involved, suggest better approaches when needed, and keep the development process simple, collaborative, and transparent.
Whether you need an AI chatbot, RAG application, fine-tuned LLM, OCR pipeline, computer vision system, voice AI product, generative media workflow, no-code MVP, or a fully custom SaaS platform, I can help turn your idea into a robust, production-ready solution.
Let’s connect and discuss how we can build an AI-driven product that delivers real value.
Steps for completing your project
After purchasing the project, send requirements so Muntaha can start the project.
Delivery time starts when Muntaha receives requirements from you.
Muntaha works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Discovery
Understand your goals, domain, and expected AI behavior. → Output: Clear specification document
Data Preparation
Clean, validate, and format your data for training or prompt testing. → Output: Structured dataset in required format