You will get Custom YOLO Vision Model Adaptation & Training with Your Data
Project details
Get a custom YOLO model that perfectly fits your project. With advanced training, annotation expertise, and embedded optimization, I deliver accurate, efficient solutions every time.
Machine Learning Tools
Azure Machine Learning, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, TensorFlowWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 20 days
- Number of Revisions 2
- Model Validation/Testing
- Model Documentation
Optional add-ons
You can add these on the next page.
Fast 10 Days Delivery
+$100
Additional Revision
+$50
Source Code
+$50About Adnan
AI & Machine Learning | Artificial Intelligence, Boots, C++, CSS
Karlsruhe, Germany - 9:34 am local time
I am a DevOps Engineer, AI Automation specialist, and Full Stack Developer based in Germany, currently working at NovelSense where I develop and optimize AI solutions for embedded systems with a focus on computer vision and machine learning model optimization.
On the embedded side, I specialize in optimizing ML models for embedded NPUs, writing efficient post-processing pipelines in C, customizing open-source computer vision models for specific business needs, and developing custom Linux images and bootloader configurations. I have hands-on experience with Khadas VIM3 and similar edge hardware, deploying detection models at the hardware level where performance and memory efficiency are non-negotiable.
On the DevOps side, I build and maintain CI/CD pipelines, custom monitoring dashboards, and cloud infrastructure on AWS. I work with Docker and Kubernetes for containerized deployments and have extensive experience with Azure DevOps for pipeline automation.
On the full stack side, I develop complete web applications from backend to frontend. My stack includes Python with Django and Flask, REST APIs, JavaScript, React, and databases. I have independently built and shipped production-ready products including meintutor.ai, an LLM-powered German language learning platform, and pdf4u.de, a full-stack PDF processing web app with server-side processing and a privacy-first design. Both are live, fully functional applications built and maintained entirely by me.
I hold a Master's degree in Sensor Systems Technology from Karlsruhe University of Applied Sciences, which gives me a solid engineering foundation that most pure software engineers lack. This combination of low-level systems knowledge, modern DevOps practices, and full stack development means I can work across the entire technology stack, from bare metal hardware all the way up to user-facing web applications.
My core areas of expertise are full stack web development, DevOps automation and pipeline optimization, embedded Linux development, AI model deployment and optimization on resource-constrained hardware, cloud computing on AWS, and C and C++ system-level development.
If you need someone who can handle the full picture, from embedded hardware and AI model optimization to cloud infrastructure and production web applications, I would be glad to help.
Steps for completing your project
After purchasing the project, send requirements so Adnan can start the project.
Delivery time starts when Adnan receives requirements from you.
Adnan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Data Review
Review your project goals, dataset, and target objects. Confirm model specifications and desired outcomes.
Model Setup & Initial Training
Configure YOLO for your specific needs. Train an initial model using your data and basic hyperparameters.