I will build computer vision systems for object detection and tracking


About this gig
I build production-ready computer vision systems that transform images and videos into actionable intelligence. My focus is on real-world deployment, performance, and scalability not just experimental demos
Whether you are a startup, SaaS founder, or enterprise team, I help you design and implement reliable AI-powered vision solutions
What I can build for you
- Object detection and multi-object tracking
- Real-time and offline video analytics pipelines
- Event detection and visual intelligence systems
- Performance-optimized AI models
- Deployment-ready solutions for cloud or edge environments
Common use cases
- Sports analytics and automated highlight generation
- Intelligent surveillance and monitoring systems
- Safety and inspection solutions
- AI-powered video processing platforms
Why work with me
- Strong expertise in AI and computer vision
- Experience delivering real-world, production-ready systems
- Clean, modular, and well-documented code
- Clear communication and professional workflow
Every project is customized based on your requirements, data, and deployment constraints. If you need a dependable computer vision engineer who understands both AI and software engineering, lets discuss your project
Get to know Najam Hassan
AI, Computer Vision Engineer Building Production Ready AI Solutions
- FromPakistan
- Member sinceMay 2020
Languages
Urdu, Pashto, English
My Portfolio
FAQ
What kind of computer vision projects do you work on?
I work on object detection, multi-object tracking, video analytics, event detection, and real-time or offline vision systems. My focus is on building production-ready solutions for real-world use cases.
Do you build real-time video processing systems?
Yes. I develop both real-time and batch video analytics pipelines depending on your requirements, data sources, and deployment environment.
Can you deploy models on edge devices or servers?
Yes. I design solutions that can run on cloud servers or on edge hardware, including NVIDIA-based platforms, depending on performance and latency needs.
Will I receive the full source code?
Yes. All packages include clean, well-documented source code that you fully own.
What data do you need to start?
Typically, I need sample images or videos, a clear description of the task, and any performance or deployment requirements you may have.
Which NVIDIA Jetson devices do you support?
I work with NVIDIA Jetson Nano, Xavier, Orin Nano, and Orin NX. I help select the right device based on performance, power, and budget requirements.
Do you optimize models using TensorRT?
Yes. I optimize models using TensorRT to achieve faster inference, lower latency, and better resource utilization on NVIDIA Jetson devices.
Can you deploy AI models fully on-device without cloud dependency?
Yes. I build edge AI systems that run entirely on-device, enabling low-latency inference and operation without continuous internet connectivity.
Can you convert existing models for Jetson deployment?
Yes. I can convert and optimize existing PyTorch or ONNX models for deployment on Jetson using TensorRT and CUDA acceleration.

