You will get your AI model deployed to production as a secure, scalable API
Project details
You'll get your AI or ML model taken out of the notebook and running in production as a secure, scalable API your product can actually depend on.
I've spent 5+ years building AI and backend systems, including production infrastructure on regulated, high-transaction platforms where downtime isn't an option. That means I don't just get your model responding to requests. I make sure it stays up, handles real traffic, fails gracefully, and comes with documentation your team can build on.
Whether it's a custom model, an LLM feature, or a RAG pipeline, I handle the full path: containerization with Docker, a clean API layer (FastAPI/Flask), authentication, monitoring, and deployment to AWS, Azure, or GCP.
Message me with your model or use case before ordering and I'll confirm scope and give you a realistic timeline. No guesswork, no surprises.
I've spent 5+ years building AI and backend systems, including production infrastructure on regulated, high-transaction platforms where downtime isn't an option. That means I don't just get your model responding to requests. I make sure it stays up, handles real traffic, fails gracefully, and comes with documentation your team can build on.
Whether it's a custom model, an LLM feature, or a RAG pipeline, I handle the full path: containerization with Docker, a clean API layer (FastAPI/Flask), authentication, monitoring, and deployment to AWS, Azure, or GCP.
Message me with your model or use case before ordering and I'll confirm scope and give you a realistic timeline. No guesswork, no surprises.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$49
|
Standard
$199
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 4 | 8 | 12 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Vishal
AI Integration Engineer | LLM Agents, RAG & API Development
Thane, India - 5:12 am local time
1. AI & LLM integration, RAG, and chatbots
2. ML deployment & MLOps (Python, FastAPI)
3. Backend & APIs (Java/Quarkus, PostgreSQL)
Regular communication is important to me, so let’s keep in touch.
Steps for completing your project
After purchasing the project, send requirements so Vishal can start the project.
Delivery time starts when Vishal receives requirements from you.
Vishal works on your project following the steps below.
Revisions may occur after the delivery date.
Review & scope
I review your model and requirements, confirm the cloud setup and scope, and share a clear timeline before starting.
Build & containerize
I wrap your model in a production API (FastAPI/Flask), containerize it with Docker, and set up authentication and error handling.