You will get AI/ML models deployed and productionized as scalable API (FastAPI + Docker)
Project details
🚀 Have a machine learning or NLP model running in a notebook but need it in production?
I turn prototypes into robust, scalable, and secure AI services ready for real-world use.
With Python, Hugging Face, Transformers, LangChain, OpenAI API, FastAPI, and Docker, I’ll deliver an API that lets you or your customers use your model seamlessly.
What you’ll get:
✅ FastAPI service with REST endpoints
✅ Dockerized deployment (local, server, or cloud)
✅ Optimized inference (batching, caching, GPU support)
✅ Secure, documented API with Swagger/OpenAPI
✅ Optional LangChain / RAG integration
✅ Production-ready setup (logging, error handling, configs)
Perfect for:
• Chatbots & LLM pipelines
• NLP tasks (classification, summarization, Q&A, translation)
• Generative AI apps
• Any ML/DL model that needs an API
⚙️ I also offer server setup (Linux, Nginx, cloud) and CI/CD pipelines for scalability.
I turn prototypes into robust, scalable, and secure AI services ready for real-world use.
With Python, Hugging Face, Transformers, LangChain, OpenAI API, FastAPI, and Docker, I’ll deliver an API that lets you or your customers use your model seamlessly.
What you’ll get:
✅ FastAPI service with REST endpoints
✅ Dockerized deployment (local, server, or cloud)
✅ Optimized inference (batching, caching, GPU support)
✅ Secure, documented API with Swagger/OpenAPI
✅ Optional LangChain / RAG integration
✅ Production-ready setup (logging, error handling, configs)
Perfect for:
• Chatbots & LLM pipelines
• NLP tasks (classification, summarization, Q&A, translation)
• Generative AI apps
• Any ML/DL model that needs an API
⚙️ I also offer server setup (Linux, Nginx, cloud) and CI/CD pipelines for scalability.
Machine Learning Tools
BERT, ChatGPT, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 0 | 1 | 1 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
About Artem
LLM & NLP | GenAI | LangChain & RAG | Hugging Face | FastAPI & Docker
Lausanne, Switzerland - 7:26 pm local time
Core strengths:
- AI/ML integration: PyTorch, Hugging Face Transformers, LangChain, scikit-learn
- Packaging AI/ML solutions into API services and deploying them with FastAPI, Docker, and CI/CD workflows
- Translating business problems into effective AI/ML solutions
- Industry experience across IT, Banking, MedTech, research labs, and manufacturing
- Leadership and mentoring with a proactive, solution-oriented mindset
- Writing clean, production-level code (7+ years of Python experience, including 3 years at an international IT company)
I’m passionate about harnessing the power of data to drive impact and innovation through AI. Let’s discuss how I can help you transform your business challenges into AI-powered solutions!
Steps for completing your project
After purchasing the project, send requirements so Artem can start the project.
Delivery time starts when Artem receives requirements from you.
Artem works on your project following the steps below.
Revisions may occur after the delivery date.
Review & Planning
Analyze your code/notebook and define the API endpoints.
API & Packaging
Build the FastAPI service and containerize it with Docker.