You will get Custom ML Model with FastAPI or Flask (NLP, CV, Clustering, or Tabular)
Project details
Have a trained machine learning model and want to make it accessible via an API? I’ll wrap your model—whether it's for classification, clustering, NLP, or computer vision—in a secure, scalable REST API using FastAPI or Flask. Perfect for integrating your model into web, mobile, or enterprise apps.
I’ve deployed ML solutions for real-time image detection, text classification, segmentation, and more using frameworks like Scikit-learn, TensorFlow, PyTorch, and XGBoost.
I’ve deployed ML solutions for real-time image detection, text classification, segmentation, and more using frameworks like Scikit-learn, TensorFlow, PyTorch, and XGBoost.
Machine Learning Tools
Keras, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 8 days |
Number of Revisions | 2 | 3 | 4 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Add GPU Optimization & Batch Prediction Support
(+ 2 Days)
+$100About Adrianus
Versatile Developer | Backend, Machine Learning & Blockchain
Sleman, Indonesia - 3:42 am local time
I'm a software engineer with a strong background in building APIs, full-stack applications, and backend systems at Indomaret Group—one of Indonesia’s largest retail companies. I specialize in backend development using .NET Core and Golang, with hands-on experience designing APIs for real-world systems like payment aggregation services.
On top of that, I'm passionate about cutting-edge technologies like Machine Learning and Web3:
Built and deployed machine learning models for real-time object detection and segmentation
Developed smart contracts and dApps for secure, transparent systems using Solidity, Web3.js, and Ethereum
Whether you're building a traditional backend, a smart contract system, or deploying ML models, I bring clean code practices, system thinking, and a strong delivery mindset.
🧰 Tech Stack: .NET Core, Golang, SQL Server, PostgreSQL, React.js, Python, TensorFlow, Solidity, Web3.js, Docker
Let's bring your idea to life with reliable backend logic, intelligent systems, or decentralized solutions.
Steps for completing your project
After purchasing the project, send requirements so Adrianus can start the project.
Delivery time starts when Adrianus receives requirements from you.
Adrianus works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
- Receive the trained ML model (e.g., .pkl, .h5, .pt) - Define the model type: classification, clustering, object detection, NLP, etc. - Get sample input data and expected output - Confirm input/output formats (file, base64, text, JSON, etc.)
Model Loading & Preprocessing
- Load the model into memory - Set up preprocessing steps (e.g., image resizing, text tokenization) - Add error handling for bad input