Book a Development & IT Consultation with Muhammad M. | Upwork

Development & IT Consultation with Muhammad M.

5.0 · 39 reviews

Meet a Computer Vision Engineer with over 4 years of experience delivering end-to-end AI solutions for real-world applications.

What Sets Me Apart
• Extensive YOLO Knowledge, from research to real-world deployment.
• Embedded AI expertise, specialized in Jetson-powered vision systems.
• Proven results, trusted by clients for **on-time, high-quality delivery.
• Open Source Leadership, 2K+ GitHub stars, contributor to global CV tools
• Industry presence, 49K+ LinkedIn followers, active in computer vision education and community building
• Research excellence, author of 4 peer-reviewed papers (IEEE) with ~100 citations

How I Work
I help clients transform ideas into working AI solutions by:
1. Understanding the problem and defining KPIs.
2. Building, training, and optimizing the right models.
3. Deploying solutions on cloud, edge, or embedded devices.
4. Providing ongoing support, updates, and scalability.

💡 Whether you need real-time detection for manufacturing, smart tracking for surveillance, or optimized AI models for Jetson devices, I have the expertise and proven track record to make it happen.

📩 Let’s connect and bring your computer vision project to life.

Get personalized advice on:

AI & Machine Learning AI Integration software development computer vision object detection & tracking research & development machine vision

You’re covered with payment protection so you can cancel and get a full refund up to 24 hours before your consultation.

About Muhammad

Computer Vision Engineer | YOLO, PyTorch, TensorFlow | Deep Learning

100% Job Success

5.0 (39 reviews)

Islamabad, Pakistan - 3:41 pm local time

Hi, I’m Rizwan 👋

I’m an AI and Computer Vision Engineer with a strong background in deep learning, YOLO models (v5–v13), PyTorch, and TensorFlow. Over the years, I’ve worked on projects ranging from object detection and tracking to pose estimation, segmentation, and real-time video analytics.

I enjoy building solutions that don’t just run in research notebooks but actually work in production, whether that’s on the cloud, edge devices, or mobile applications. My expertise includes:

Object Detection & Tracking – YOLO, Faster R-CNN, Mask R-CNN, RetinaNet

Segmentation & Classification – SAM, FastSAM, MobileSAM, U-Net, EfficientNet

Pose Estimation & Action Recognition – fitness monitoring, sports analysis, human activity recognition.

MLOps & Deployment – ONNX, TensorRT, OpenVINO, Docker, Flask/FastAPI, AWS, GCP, RunPod

Multimodal AI – combining vision + language with CLIP and Florence-2

I’ve also contributed to Ultralytics (YOLO), where I worked on solutions and open-source contributions used by thousands of developers worldwide. Alongside development, I also create technical tutorials and documentation to make AI projects easier for others to understand and use.

If you’re looking for someone who can take your computer vision idea from dataset to deployment, I’d be happy to help. Let’s connect and discuss how we can bring your project to life 🚀

What to expect

Schedule the consultation

Choose from the freelancer’s available days and times.

Get advice for your custom needs

Share details about your project and what you want to talk about. The freelancer will review and reach out if they have questions.

Join the Zoom meeting

1-on-1 meeting with the freelancer to discuss your needs and project.

Approve the work

The freelancer will finish up the documents you asked for and send them to you for approval:

Before the consultation

Here’s what Muhammad will need to know before you meet

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very good knowlede, worth the money

Muhammad seems knowledgeable. Looking forward to further discussions.