You will get an AI developer | TensorFlow, PyTorch, HuggingFace, ElevenLabs, Ultralytics

Project details
AI / Machine Learning Project
Project Summary:
This project delivers a custom AI/ML application tailored to specific business objectives, such as predictive analytics, computer vision, NLP, or text-to-speech solutions. The workflow covers data preparation, model development, validation, optimization, and deployment. The final product will be production-ready, including API integration, dashboards, and documentation, allowing seamless usage and integration into existing workflows.
Key Deliverables:
Fully trained ML/AI model(s)
Data preprocessing and feature engineering pipelines
Model validation, testing, and optimization
Deployment as an API or integrated app
Graphs, charts, and performance metrics
Source code and comprehensive technical documentation
Project Summary:
This project delivers a custom AI/ML application tailored to specific business objectives, such as predictive analytics, computer vision, NLP, or text-to-speech solutions. The workflow covers data preparation, model development, validation, optimization, and deployment. The final product will be production-ready, including API integration, dashboards, and documentation, allowing seamless usage and integration into existing workflows.
Key Deliverables:
Fully trained ML/AI model(s)
Data preprocessing and feature engineering pipelines
Model validation, testing, and optimization
Deployment as an API or integrated app
Graphs, charts, and performance metrics
Source code and comprehensive technical documentation
Machine Learning Tools
Keras, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$3,000
|
Standard
$5,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 5 | 9 | 9 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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MS
Marc S.
Mar 30, 2026
AI-First Full-Stack Developer Needed
Andrei is very knowledgable and hard working. He is a keen listener to clearly understand the project before using his skills and experience to generate excellent detail orientated solutions. I can only highly recommend him to anyone seeking an excellent developer.
About Andrei
Full Stack Developer | Laravel, React Native | AI integrations, SaaS
Urziceni, Romania - 7:53 am local time
What I can help you with:
• SaaS platforms (subscriptions, billing, multi-tenant systems)
• Backend systems and APIs built for real-world business logic
• AI integrations (automation, chat systems, data processing)
• Full-stack applications (Laravel + Vue + React Native)
• Performance optimization and system scaling
• Deployment and infrastructure (Docker, Kubernetes, AWS)
How I work:
• Understand your business and define the right solution
• Build clean, scalable, and maintainable systems
• Deliver stable, production-ready applications with long-term support
I’ve worked on marketplaces, SaaS products, APIs, and custom platforms — always focusing on clarity, performance, and real impact.
Steps for completing your project
After purchasing the project, send requirements so Andrei can start the project.
Delivery time starts when Andrei receives requirements from you.
Andrei works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Planning
Understand business objectives, data sources, and desired AI features. Define project scope: type of model (ML, NLP, CV, TTS), input/output requirements, and timeline. Identify key user scenarios and success metrics.
Project Environment Setup
Initialize Git repository with structured Python project folders. Set up Python environment, relevant libraries (PyTorch, TensorFlow, etc.), and Jupyter notebooks if needed. Configure environment variables, dev tools, and data pipelines.