You will get your AI or ML model deployed as a production-ready API
Top Rated
Top Rated
Project details
Turn your trained AI model into a reliable production application.
Have an ML, deep learning, computer vision, NLP, LLM, or research model that works locally but is difficult to deploy?
I will build the production infrastructure around your model so it can be accessed reliably through an API, web application, internal service, or cloud deployment.
I can help with:
Model Serving • REST APIs • FastAPI • Docker • Background Workers • Databases • Storage • CI/CD • Cloud Deployment • Monitoring
Typical workflow:
Trained Model → Inference Service → REST API → Application → Docker → Cloud
I can deploy models for:
Computer vision
Object detection
NLP and LLMs
RAG pipelines
Audio processing
OCR / Document AI
Classification
Regression
Scientific/research models
Custom PyTorch or TensorFlow pipelines
Depending on your requirements, the solution can include frontend integration, async processing, job queues, databases, file storage, authentication, Docker Compose, nginx, CI/CD, GPU configuration, and cloud deployment.
You receive a production-ready engineering solution with source code and documentation, not just a notebook or model script.
Have an ML, deep learning, computer vision, NLP, LLM, or research model that works locally but is difficult to deploy?
I will build the production infrastructure around your model so it can be accessed reliably through an API, web application, internal service, or cloud deployment.
I can help with:
Model Serving • REST APIs • FastAPI • Docker • Background Workers • Databases • Storage • CI/CD • Cloud Deployment • Monitoring
Typical workflow:
Trained Model → Inference Service → REST API → Application → Docker → Cloud
I can deploy models for:
Computer vision
Object detection
NLP and LLMs
RAG pipelines
Audio processing
OCR / Document AI
Classification
Regression
Scientific/research models
Custom PyTorch or TensorFlow pipelines
Depending on your requirements, the solution can include frontend integration, async processing, job queues, databases, file storage, authentication, Docker Compose, nginx, CI/CD, GPU configuration, and cloud deployment.
You receive a production-ready engineering solution with source code and documentation, not just a notebook or model script.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Apache MXNet, Azure Machine Learning, deeplearn.js, Google AutoML, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,200
|
Advanced
$2,100
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 2 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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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 - 2:12 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.
Model & Code Review
Inference Pipeline