Scalable AI Models for Real-World Applications by Rithik GourScalable AI Models for Real-World Applications by Rithik Gour
Scalable AI Models for Real-World ApplicationsRithik Gour
Cover image for Scalable AI Models for Real-World Applications
I design and deploy high-performance AI models tailored to your data challenges, specializing in deep learning (PyTorch/TensorFlow), generative AI (VAEs), and scalable ML solutions. What sets me apart? Full-cycle expertise—from data prep to deployment—with a focus on models that are accurate, interpretable, and production-ready.

What's included

Advanced AI Model Development with PyTorch & TensorFlow
Custom AI Model Solution: A trained, optimized AI/ML model tailored to your specific use case (classification, prediction, generative AI, etc.), delivered with complete documentation. Model Performance Report: Detailed evaluation metrics (accuracy, precision, recall, etc.) with benchmarks against industry standards. Deployment Package: Ready-to-integrate model files (e.g., .h5, .pkl, or ONNX format) with API wrappers (Flask/FastAPI) or cloud deployment scripts (AWS/GCP). Technical Documentation: Clear instructions for model usage, retraining, and maintenance, including dependencies and environment setup. Post-Deployment Support : 2 weeks of troubleshooting and minor adjustments to ensure smooth integration.
Contact for pricing
Schedule a call
Tags
Python
PyTorch
scikit-learn
TensorFlow
Variational Autoencoders (VAEs)
AI Developer
AI Model Developer
ML Engineer
Service provided by
Rithik Gour Mysuru, India
Scalable AI Models for Real-World ApplicationsRithik Gour
Contact for pricing
Schedule a call
Tags
Python
PyTorch
scikit-learn
TensorFlow
Variational Autoencoders (VAEs)
AI Developer
AI Model Developer
ML Engineer
Cover image for Scalable AI Models for Real-World Applications
I design and deploy high-performance AI models tailored to your data challenges, specializing in deep learning (PyTorch/TensorFlow), generative AI (VAEs), and scalable ML solutions. What sets me apart? Full-cycle expertise—from data prep to deployment—with a focus on models that are accurate, interpretable, and production-ready.

What's included

Advanced AI Model Development with PyTorch & TensorFlow
Custom AI Model Solution: A trained, optimized AI/ML model tailored to your specific use case (classification, prediction, generative AI, etc.), delivered with complete documentation. Model Performance Report: Detailed evaluation metrics (accuracy, precision, recall, etc.) with benchmarks against industry standards. Deployment Package: Ready-to-integrate model files (e.g., .h5, .pkl, or ONNX format) with API wrappers (Flask/FastAPI) or cloud deployment scripts (AWS/GCP). Technical Documentation: Clear instructions for model usage, retraining, and maintenance, including dependencies and environment setup. Post-Deployment Support : 2 weeks of troubleshooting and minor adjustments to ensure smooth integration.
Contact for pricing