I will train and deploy your dl model using tensorflow lite onnx coreml

I am a Deep Learning engineer specializing in Model Compression and Edge Deployment. I will transform your high-accuracy research models into production-ready assets optimized for mobile, web, and IoT devices.

What I Provide:

• Model Conversion: Seamlessly convert between frameworks including PyTorch to ONNX, Keras to TFLite, or TensorFlow to CoreML.
• Inference Optimization: Speed up your model using TensorRT, OpenVINO, or ONNX Runtime.
• Model Compression: Reduce footprint using Post-Training Quantization (INT8/Float16) and Weight Pruning without losing significant accuracy.
• Edge Deployment: Optimization for hardware like Raspberry Pi, Android (TFLite), iOS (CoreML), and NVIDIA Jetson.
• Architecture Refinement: Implementing Knowledge Distillation to create efficient "student" models.

Why Choose This Service?

• Expertise in SOTA Architectures: Experience with YOLO (v8-v11), Transformers (ViT), MobileNet, and EfficientNet.
• Performance Benchmarking: You receive a detailed report showing Latency, Throughput, and Memory usage before and after optimization.
• Clean Implementation: Fully documented Python or C++ integration scripts.

Tools & Frameworks:

PyTorch | TensorFlow | Keras | ONNX | TFLite