You will get AI/ML Expert: PyTorch, YOLO, Transformers, Debugging & Model Optimization
Project details
I provide fast, reliable, and expert-level support for Machine Learning and Computer Vision projects. If your model is throwing errors, underperforming, overfitting, unstable, or simply not behaving as expected, I can help you diagnose the issue and implement effective fixes quickly.
With hands-on research experience at Max Planck Institute, TU Berlin, Roketsan AI Technologies, and METU Robotics Lab, I combine academic depth with practical engineering. I’ve worked on YOLO-based detection, PyTorch/TensorFlow model debugging, real-time edge deployment, reinforcement learning, and data pipeline optimization.
My approach is simple: I analyze your code and environment, identify root causes, validate findings, and give you clear, actionable solutions. No confusion, no guesswork — just professional guidance to get your AI system working the way it should.
If you need someone capable of solving complex ML/CV problems fast and explaining everything clearly along the way, this project is the right fit for you.
With hands-on research experience at Max Planck Institute, TU Berlin, Roketsan AI Technologies, and METU Robotics Lab, I combine academic depth with practical engineering. I’ve worked on YOLO-based detection, PyTorch/TensorFlow model debugging, real-time edge deployment, reinforcement learning, and data pipeline optimization.
My approach is simple: I analyze your code and environment, identify root causes, validate findings, and give you clear, actionable solutions. No confusion, no guesswork — just professional guidance to get your AI system working the way it should.
If you need someone capable of solving complex ML/CV problems fast and explaining everything clearly along the way, this project is the right fit for you.
Machine Learning Tools
ChatGPT, GitHub Copilot, Keras, MATLAB, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 0 | 1 | 2 |
Number of Scenarios | 0 | 1 | 2 |
Number of Graphs/Charts | 0 | 1 | 1 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20
Additional Revision
+$15
Additional Graph/Chart
+$10Frequently asked questions
2 reviews
(1)
(0)
(0)
(1)
(0)
This project doesn't have any reviews.
SS
Sara S.
Aug 4, 2025
Tutor/Supervisor for Data Science Project
AL
Annie L.
Mar 6, 2025
RoboCup Junior Autonomous Soccer Robots Consultant Opportunity
About Mustafa
AI, Machine Learning & Robotics Expert (Developer)
40%
Job Success
Ankara, Turkey - 5:09 pm local time
Over the years, I’ve worked on a variety of exciting projects. From building autonomous quadcopters and self-driving cars to developing Ballbot, a self-balancing robot, I’ve always been driven by the challenge of solving complex problems. My professional career has included roles at Roketsan, where I applied AI technologies to defense projects, and as the CEO of Indigo Tarım Ltd Şti., where I focus on AI-powered innovations for modern agriculture.
I specialize in programming with Python and C++, and my skills extend to embedded systems, automation, and robotics. I enjoy blending my technical expertise with creativity to design and implement solutions that address unique challenges. Whether it’s developing new algorithms, designing robotic systems, or leading AI projects, I’m always eager to explore new frontiers in technology.
AI is my primary focus now, and I’m excited to contribute to projects that push the boundaries of what technology can achieve.
Steps for completing your project
After purchasing the project, send requirements so Mustafa can start the project.
Delivery time starts when Mustafa receives requirements from you.
Mustafa works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1 — Initial Review & Setup
I review your requirements, code, error logs, environment details, and clarify the expected outcome.
Step 2 — Problem Diagnosis
I run targeted checks on your model, dataset, and training pipeline to identify the root cause of the issue.