You will get a custom AI or Machine Learning model built and deployed seamlessly
Project details
Leverage AI and machine learning to boost your business! As a certified Machine Learning Engineer, I specialize in creating custom models for predictive analysis, computer vision, and NLP, tailored to your needs.
What I Offer:
Custom AI/ML model development for your dataset
Data preprocessing and feature engineering
Deployment on cloud platforms (AWS, GCP, Azure) or via REST APIs
Full integration with your existing systems
Why Choose Me?
Successfully obtained the TensorFlow Developer Certification (TFDC) and Certified International Specialist in Data Visualization (CISDV).
Completed certifications in Generative Adversarial Networks (GANs), Deep Learning, and Machine Learning through Coursera.
Experienced with TensorFlow, PyTorch, and cloud deployment
Add-ons:
Interactive dashboards for visualizing predictions
Integration with your software/apps
Post-deployment support
Lets unlock AIs potential and drive your business forward, get in touch today!
What I Offer:
Custom AI/ML model development for your dataset
Data preprocessing and feature engineering
Deployment on cloud platforms (AWS, GCP, Azure) or via REST APIs
Full integration with your existing systems
Why Choose Me?
Successfully obtained the TensorFlow Developer Certification (TFDC) and Certified International Specialist in Data Visualization (CISDV).
Completed certifications in Generative Adversarial Networks (GANs), Deep Learning, and Machine Learning through Coursera.
Experienced with TensorFlow, PyTorch, and cloud deployment
Add-ons:
Interactive dashboards for visualizing predictions
Integration with your software/apps
Post-deployment support
Lets unlock AIs potential and drive your business forward, get in touch today!
Machine Learning Tools
BERT, Caffe, ChatGPT, GitHub Copilot, Google AutoML, Google Sheets, Keras, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, Tableau, TensorFlow, Tesseract OCR, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 2 Days)
+$50
Additional Scenario
(+ 2 Days)
+$50
Additional Graph/Chart
(+ 2 Days)
+$10
Model Documentation
(+ 2 Days)
+$50
Data Source Connectivity
(+ 2 Days)
+$50Frequently asked questions
About Rahmatullah
Network & System Administration | Artificial Intelligence, Tech & IT
Makassar, Indonesia - 9:29 pm local time
a strong foundation in system administration, cloud technologies,
and AI. Currently, I am part of the Braincore.id team, specializing
in Machine Learning and Cybersecurity. I am also a final-year
Information Systems student at Universitas Hasanuddin, where I
have gained hands-on experience in mobile development, objectoriented
programming, and IT infrastructure.
I have successfully completed the Bangkit Academy's Machine
Learning program, led by Google, Tokopedia, Gojek, and Traveloka,
with distinction. My background includes certifications in Red
Hat System Administration, Google Data Analytics, and GANs,
reflecting my commitment to continuous learning. Additionally, I have
received recognition in graphic design and hackathon competitions,
demonstrating a versatile skill set and a passion for innovation. I am
eager to leverage my expertise to contribute to cutting-edge projects
in technology and cybersecurity.
Steps for completing your project
After purchasing the project, send requirements so Rahmatullah can start the project.
Delivery time starts when Rahmatullah receives requirements from you.
Rahmatullah works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
📌 Client provides project details, dataset, and expected AI/ML outcomes. Discuss business goals and model use cases (predictive analytics, NLP, computer vision, etc.). Identify preferred deployment methods (cloud, API, local integration).
Data Processing & Feature Engineering
📌 Prepare and refine the dataset for optimal model performance. Handle missing values, outliers, and normalization. Extract meaningful features and perform dimensionality reduction if needed.