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$
USD
I will develop a full stack computer vision ai saas web application
Yagiz Cem K.
About this gig
Turn your Computer Vision model into a profitable web platform.
Standard web architectures crash under heavy image and video processing workloads. Most web developers simply don't understand the infrastructure required for AI inference.
I build full-stack web applications specifically engineered for Computer Vision SaaS. Using React/Next.js for a responsive frontend and Python (FastAPI/PyTorch) for a robust backend, I deliver a complete, deployable architecture that securely scales your AI solution to the world.
Services:
- Full-Stack SaaS: Sleek React/Next.js frontend with a high-performance Python backend.
- AI API Integration: Wrapping PyTorch/ONNX models into secure, production-ready endpoints.
- Heavy Media Handling: Asynchronous task processing to prevent timeouts during large video/image uploads.
- Deployment Setup: Dockerized pipelines ready for deployment on GPU cloud instances or VDS.
Please contact me before placing an order to discuss your project specifics and get a precise quote.
Looking forward to working with you and bringing your ideas to life!
Get to know Yagiz Cem K.
Yagiz Cem K.
Computer Vision, 3D Graphics, HPC Engineer
- FromTurkey
- Member sinceJun 2023
- Avg. response time1 hour
- Last delivery5 months
Languages
English, Turkish
Hi, I'm Yagiz. With a strong background in Mathematics and Computer Science, I specialize in Computer Vision, Graphics Programming, and High-Performance Computing (HPC). I engineer mathematically grounded, highly optimized systems.
Using C++, Python, OpenGL, and Vulkan, I build everything from custom rendering engines to robust Deep Learning workflows. I also optimize PyTorch models for blazing-fast C++ inference.
If your project requires low-level memory management, custom AI deployment, or complex algorithmic optimization, I provide strict technical solutions. Let's talk.
Other AI Development Services I Offer
FAQ
Where will this web application be hosted?
Computer Vision models require specific hardware, often GPUs. I containerize the entire stack using Docker, making it easy to deploy on any platform you prefer, whether it's AWS, GCP, etc.
Do you train the AI model, or just build the website?
This specific gig focuses on building the full-stack web infrastructure around an existing model. If you need a custom model built from scratch, contact me for a custom offer.
How do you handle user uploads and storage?
I set up secure cloud storage buckets integrated with the backend. This ensures the web server's disk doesn't fill up with user images and keeps the system scalable.
