Talk Request: Beyond the Hype—Architecting and Deploying Production-Grade AI with Python #156
Description
The Hook
Everyone is talking about AI. Very few are actually building it to last. In this session, I’m stripping away the buzzwords to show you the cold, hard mechanics of how high-level AI models are trained, optimized, and deployed using the Python ecosystem. I don't just use AI; I architect it.
The Narrative
As the creator of the entropy-classifier pip module, I’ve navigated the trenches of the Python packaging index and the complexities of model entropy. This talk isn't a "hello world" for chatbots. It is a deep dive into the intersection of Full Stack Python and advanced AI model training. We will discuss how to move from a Jupyter Notebook to a scalable, distributed environment using the industry's heaviest hitters: TensorFlow and PyTorch.
What the Audience Will Learn:
The Blueprint of a Module: How to package complex AI logic into a redistributable pip module that the community can actually use.
The Neural Deep Dive: Practical strategies for training Deep Neural Networks and implementing Computer Vision without the overhead.
The "Scrum" of AI: Integrating Scrum Master principles into AI development cycles to ensure models move from "experimental" to "shippable" faster than the competition.
Speaker Pedigree
I’m not here to speculate; I’m here because I have the receipts:
Google Cloud AI Certified (Google Cloud Kochi).
IBM Triple-Threat: Professional Badges in Machine Learning, Deep Learning (TensorFlow), and Deep Neural Networks (PyTorch).
Visionary Tech: Specialized IBM certification in Computer Vision and Image Processing.
Active Pillar: Google Developer Member and contributor to the Python open-source ecosystem.
In a room full of theorists, be the person who knows how to execute. I’m ready to show PyConf Hyderabad exactly how that’s done.