You will get PyTorch to ONNX Conversion: Optimize, Quantize & Deploy ML Models
Project details
I convert PyTorch/TensorFlow models to ONNX format with 2-5x latency improvements and up to 75% size reduction using ONNX Runtime optimization and INT8 quantization.
With ONNX experience, I've optimized models for cloud (AWS/Azure), edge devices (Raspberry Pi, Jetson), and browser deployment. I deliver production-ready code, benchmark reports, and deployment guides.
What sets me apart: I don't just convert models. I optimize them for YOUR specific hardware and latency requirements. Every deliverable includes validation against original model accuracy.
Ready to optimize your model? Purchase this project and send your requirements.
With ONNX experience, I've optimized models for cloud (AWS/Azure), edge devices (Raspberry Pi, Jetson), and browser deployment. I deliver production-ready code, benchmark reports, and deployment guides.
What sets me apart: I don't just convert models. I optimize them for YOUR specific hardware and latency requirements. Every deliverable includes validation against original model accuracy.
Ready to optimize your model? Purchase this project and send your requirements.
Machine Learning Tools
AnyLogic, BERT, Keras, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$800
|
Standard
$3,200
|
Advanced
$4,800
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 0 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Nilesh
AWS & GenAI Solution Consultant | Build Scalable AI Systems (LLMs, RAG
Ahmedabad, India - 10:31 am local time
Over the last 9 years, I’ve worked closely with business and engineering teams to turn complex problems into production-ready AI solutions, especially in areas like automation, analytics, and decision systems.
What I can help you with:
Build LLM-powered applications (RAG, agents, copilots)
Design scalable AWS architectures (Lambda, S3, API Gateway, Bedrock)
Convert ideas into production-ready AI systems
Automate workflows using AI → reduce cost & manual effort
Recent work:
Built a natural language → SQL system for business analytics
Developed RAG-based AI assistant for knowledge retrieval
Designed AI-driven automation workflows for operations teams
How I work:
I act as a bridge between business and engineering — leading discovery, defining architecture, and ensuring smooth execution.
If you're looking to implement AI (not just experiment) and want a consultant who can take ownership end-to-end — let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Nilesh can start the project.
Delivery time starts when Nilesh receives requirements from you.
Nilesh works on your project following the steps below.
Revisions may occur after the delivery date.
Step
Requirements Review - I analyze your model framework, architecture, and deployment targets within 24 hours of receiving requirements.
Step
Model Conversion - I export your PyTorch/TensorFlow model to ONNX format and verify structural integrity.