You will get a custom computer vision pipeline for object detection and tracking
Project details
Are you tired of computer vision models that look perfect in a Jupyter Notebook but completely fail in the real world?
I am an AI Software Engineer and the Software Lead for an autonomous hardware robotics team competing in international defense challenges. I do not just train models in a vacuum; I engineer highly robust vision pipelines designed to run flawlessly under strict latency and hardware constraints.
Whether you need to detect defects on a manufacturing line, track moving objects from drone footage, or integrate a real-time camera feed into an existing robotics system, I can build it.
What I specialize in:
Real-Time Object Detection: YOLO architectures and custom tracking algorithms.
Advanced Image Processing: OpenCV pipelines for spatial analysis, filtering, and segmentation.
Edge & Hardware Optimization: Deploying lightweight models on Jetson Nano, Raspberry Pi, or directly into ROS2 nodes.
End-to-End Delivery: Clean, asynchronous Python or C++ code ready for production.
Don't settle for a fragile script that breaks when the lighting changes. Let’s build a resilient vision system tailored exactly to your physical environment.
I am an AI Software Engineer and the Software Lead for an autonomous hardware robotics team competing in international defense challenges. I do not just train models in a vacuum; I engineer highly robust vision pipelines designed to run flawlessly under strict latency and hardware constraints.
Whether you need to detect defects on a manufacturing line, track moving objects from drone footage, or integrate a real-time camera feed into an existing robotics system, I can build it.
What I specialize in:
Real-Time Object Detection: YOLO architectures and custom tracking algorithms.
Advanced Image Processing: OpenCV pipelines for spatial analysis, filtering, and segmentation.
Edge & Hardware Optimization: Deploying lightweight models on Jetson Nano, Raspberry Pi, or directly into ROS2 nodes.
End-to-End Delivery: Clean, asynchronous Python or C++ code ready for production.
Don't settle for a fragile script that breaks when the lighting changes. Let’s build a resilient vision system tailored exactly to your physical environment.
Machine Learning Tools
Apache Spark, Keras, Kubeflow, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$90
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $75
Additional Revision
+$25
Additional Model Variation
(+ 2 Days)
+$50
Additional Scenario
(+ 1 Day)
+$40
Additional Graph/Chart
+$20Frequently asked questions
About Metin Ege
AI enginnering
Istanbul, Turkey - 6:52 am local time
✅ Skilled in: Python, OpenCV, PyTorch, Transformers, Generative AI (LLMs, RAG, Agents), SLAM, and data-driven automation.
✅ Projects: Built AI pipelines for underwater robotics (detection, mapping, navigation) and developed generative AI tools like RAG-powered knowledge hubs and recommender systems.
✅ Education: Current engineering student specializing in AI & robotics, with strong foundations in computer vision and applied machine learning.
What you get working with me:
Clear communication and reliable delivery
Problem-solving mindset (I design solutions, not just code)
Dedication to building something that works for you, not just “runs once”
Let’s discuss how I can help you with your AI, automation, or computer vision project.
Steps for completing your project
After purchasing the project, send requirements so Metin Ege can start the project.
Delivery time starts when Metin Ege receives requirements from you.
Metin Ege works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Architecture Design
I will analyze your sample footage, evaluate the environmental constraints (lighting, angles), and select the optimal computer vision architecture (e.g., YOLO, OpenCV) to meet your speed and accuracy goals.
Model Engineering & Training
I will build the vision pipeline, apply data augmentation to handle real-world edge cases, and train/test the model to ensure it locks onto your target with high confidence.