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You will get Deploy Your AI/ML Model to Production with FastAPI & Docker

Bright B.Status: Offline
Bright B. Bright B.
5.0
Top Rated
Preview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Bright, priced and ready to go.
Bright B.Status: Offline
Bright B. Bright B.
5.0
Top Rated
Preview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Bright, priced and ready to go.

Project details

If you have a trained AI/ML model but need it transformed into a reliable, production-ready system, I will design and deploy a scalable backend API using FastAPI and Docker.

Many machine learning projects fail at the deployment stage. I specialize in bridging that gap — turning notebook prototypes into robust, secure, and maintainable production services.

What sets this service apart:

• Clean, well-structured FastAPI architecture
• Proper error handling and logging
• Dockerized environment for portability
• Optional database and cloud integration
• Production-focused design, not quick hacks

I bring experience building financial prediction platforms, multi-tenant SaaS systems, and AI-powered backend infrastructures. My focus is not just making it work — but making it scalable, maintainable, and ready for real-world usage.

Let’s move your model from experimentation to production.
Machine Learning Tools
Amazon SageMaker, Python, Vertex AI
What's included
Service Tiers Starter
$900
Standard
$2,000
Advanced
$4,200
Delivery Time 7 days 14 days 21 days
Number of Revisions
123
Model Validation/Testing
-
Model Documentation
-
Data Source Connectivity
-
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$400 - $900
Model Validation/Testing (+ 3 Days)
+$500
Model Documentation (+ 2 Days)
+$300
Data Source Connectivity (+ 5 Days)
+$1,000
5.0
5 reviews
100% Complete
(5)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

MV

Michiel V.
5.00
Jan 30, 2026
[Async Python] Backend Developer Bright was eager to solve real world problems and help us out with complex sql framework logic

MV

Michiel V.
5.00
May 23, 2025
Technical test for backend developer Bright was able to demonstrate skill and communicate effectively.

LS

Lindsey S.
5.00
Mar 26, 2025
Google Vertex AI Expert Needed for Project Implementation

DL

Dave L.
5.00
Aug 30, 2024
Python Code/Computer vision to measure joint flexion of basketball players

DL

Dave L.
5.00
Nov 10, 2023
Excel, Python, and SQL Expert for Auto-Updating NBA Advanced Shooting Statistics Bright was very prompt, knowledgable and helpful with my project. He got right to work, handled challenges quickly, and turned around the final product on time. Bright did a great job.
Bright B.Status: Offline

About Bright

Bright B.Status: Offline
AI Systems Engineer, Python Backend Architect | ML & Agent Integration
100% Job Success
5.0  (5 reviews)
Edmonton, Canada - 7:57 am local time
I am an AI Systems Engineer and Senior Python Backend Developer with a strong background in Artificial Intelligence and production-grade system architecture. I hold a Master’s degree in AI and specialize in building scalable AI-driven platforms that combine machine learning, backend engineering, and real-world business logic.

My experience goes beyond training models — I design and deploy complete AI systems. I have built predictive analytics platforms processing millions of data points, integrated ML inference pipelines into production APIs, and architected multi-tenant SaaS backends using FastAPI and Django.

I specialize in:
• Designing scalable Python backend architectures
• Deploying ML models into secure production environments
• Building asynchronous pipelines for AI workloads
• Feature engineering and large-scale data preprocessing
• Financial modeling (ROI, IRR, NPV forecasting systems)
• AI-powered analytics platforms
• Multi-tenant SaaS system design

I have hands-on experience with model training and deployment using TensorFlow, scikit-learn, and modern ML workflows, and I’ve implemented NLP systems for sentiment analysis and structured intelligence extraction. I’ve also built recommendation systems and computer vision pipelines, focusing on real-world performance and production reliability — not just experimental accuracy.

In addition to AI work, I am highly experienced in backend engineering:
• RESTful API design (FastAPI, Django)
• PostgreSQL schema design and optimization
• Asynchronous programming (asyncio, Celery)
• Cloud deployments (GCP / AWS)
• Dockerized microservices
• CI/CD pipelines
• Role-based access control and secure API systems

My approach is analytical, structured, and business-oriented. I focus on building AI systems that are measurable, maintainable, and scalable.

If you are looking for someone who can design, implement, and deploy intelligent systems — not just build models — I would be happy to collaborate.

Steps for completing your project

After purchasing the project, send requirements so Bright can start the project.

Delivery time starts when Bright receives requirements from you.

Bright works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement & Architecture Review

Review model, framework, and intended API behavior. Define architecture and deployment plan.

Review the work, release payment, and leave feedback to Bright.