You will get implementation and reproduction machine learning research papers
Rising Talent
Project details
Do you need a machine learning research paper implemented as clean, reproducible code?
I implement and reproduce machine learning and deep learning methods using Python, PyTorch, TensorFlow, and related tools. This service is ideal for researchers, students, startups, and technical teams who need reliable implementations of published papers.
Depending on the selected package, the project may include:
• Paper review and implementation planning
• Model implementation
• Data preprocessing and experiment setup
• Training and evaluation
• Baseline comparison and result analysis
• Performance visualizations
• Clean, well-structured source code
• README and documentation
I am a PhD researcher in Computer Science at Macquarie University with research experience in machine learning, deep learning, computer vision, multimodal AI, and trustworthy AI.
Please note that exact results from published papers cannot always be guaranteed because datasets, preprocessing, hardware, and implementation details may differ.
I implement and reproduce machine learning and deep learning methods using Python, PyTorch, TensorFlow, and related tools. This service is ideal for researchers, students, startups, and technical teams who need reliable implementations of published papers.
Depending on the selected package, the project may include:
• Paper review and implementation planning
• Model implementation
• Data preprocessing and experiment setup
• Training and evaluation
• Baseline comparison and result analysis
• Performance visualizations
• Clean, well-structured source code
• README and documentation
I am a PhD researcher in Computer Science at Macquarie University with research experience in machine learning, deep learning, computer vision, multimodal AI, and trustworthy AI.
Please note that exact results from published papers cannot always be guaranteed because datasets, preprocessing, hardware, and implementation details may differ.
Machine Learning Tools
BERT, Keras, MLflow, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$180
|
Standard
$450
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$70 - $200
Additional Revision
+$50
Additional Baseline Model
(+ 2 Days)
+$100
Additional Experiment
(+ 2 Days)
+$80
Existing Code Integration
(+ 3 Days)
+$150Frequently asked questions
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KI
Kelvin I.
Jul 4, 2026
AI Course Development and Teaching for Beginners
About Ghazal
Machine Learning Engineer | Computer Vision | LLMs | Medical AI
Macquarie Park, Australia - 8:18 am local time
Looking for an AI solution that goes beyond a basic model or prototype?
I’m a Machine Learning Engineer and Computer Science PhD researcher specializing in Machine Learning, Deep Learning, Computer Vision, LLMs, Multimodal AI, and Medical AI. I help startups, businesses, and research teams turn complex ideas and data into reliable, practical AI solutions.
I can help you with:
• Machine Learning & Deep Learning — custom models, prediction systems, classification, and optimization
• Computer Vision — image classification, medical imaging, feature extraction, and deep learning pipelines
• LLMs & Generative AI — LLM-based applications, NLP pipelines, and intelligent AI systems
• Multimodal AI — solutions combining images, text, tabular data, or other modalities
• Medical & Healthcare AI — medical image analysis, robust AI models, and research-driven implementations
• AI Research & Implementation — reproducing research papers, implementing novel methods, experimentation, and evaluation
• Technical AI Consulting — architecture decisions, model selection, project roadmaps, and research direction
Why work with me?
My work combines research-level AI expertise with practical implementation. Rather than simply training a model, I focus on understanding your problem, selecting the right methodology, building a clean and reproducible pipeline, evaluating it properly, and delivering a solution you can actually use or extend.
My technical stack includes Python, PyTorch, TensorFlow, scikit-learn, OpenCV, and modern deep learning and AI frameworks.
Whether you already have a well-defined project or just an idea and need help determining the best technical direction, I’d be happy to discuss it.
Send me a message or book a consultation, and let’s turn your AI idea into a practical solution.
Steps for completing your project
After purchasing the project, send requirements so Ghazal can start the project.
Delivery time starts when Ghazal receives requirements from you.
Ghazal works on your project following the steps below.
Revisions may occur after the delivery date.
Paper and Scope Review
Review the paper, available code, data, target experiments, and implementation feasibility.
Method and Experiment Planning
Extract the algorithm, architecture, losses, training settings, and evaluation protocol.