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I will build and deploy custom yolo object detection ai
Applied ML Engineer: Computer Vision, Predictive AI and MLOps
Hey, I’m Yashfa, an Applied AI Engineer specializing in Computer Vision, Predictive ML, and production-grade model deployment.
I build intelligent systems that turn data into decisions, whether it’s ...
About this Gig
Need accurate, real-time object detection for CCTV, drones, retail analytics, vehicles, or industrial inspection?
I build high performance YOLO-based computer vision solutions with 98%+ accuracy for real-time detection, tracking, and optimization.
WHAT I DELIVER:
Object detection models (YOLOv8/v11, Faster R-CNN)
Image classification & segmentation
Real-time inference (15-30 FPS)
Edge AI optimization (TFLite, ONNX)
Production-ready APIs
MLOps integration
SPECIALIZATIONS:
- Manufacturing defect detection
- People/vehicle tracking & monitoring
- Agricultural crop disease detection
- Medical image analysis
- Security & surveillance systems
MY EDGE:
200+ deployed AI systems (92% avg accuracy)
30% efficiency gains through optimization
Industries: Smart Cities, Healthcare, Agriculture, IoT
TECH STACK:
PyTorch, TensorFlow, YOLO (v8/v11), ResNet, EfficientNet, Vision Transformers, TFLite, ONNX, TensorRT
DELIVERABLES:
Trained model files (all formats)
Python inference code + API
Performance metrics & reports
Deployment documentation
Post-delivery consultation
Transform your vision data into intelligent automation!
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What types of computer vision projects can you handle?
I specialize in object detection (YOLO-based systems), image classification, basic segmentation, and object tracking. My focus is on production-ready solutions for real-time applications and edge deployment. If you have a specific use case, message me and I'll let you know if it's a good fit!
What if the model accuracy is not satisfactory?
I work iteratively to achieve optimal results. If initial accuracy is below expectations, I'll analyze the issues (data quality, model architecture, hyperparameters) and retrain at no extra cost within the revision limits. I aim for 95%+ accuracy for most use cases.
Can you work with my custom dataset?
Absolutely! I can work with any dataset format (COCO, YOLO, Pascal VOC, or custom). If your data is unlabeled, I can guide you on annotation tools or handle annotation as an additional service.
