Perform Hyperparameter tuning on a small Regression problem using TensorFlow 2

Shovs LLM OS is a local-first research runtime for studying agents that plan, use tools, remember, verify, and explain what happened.

My playground for Google's Vertex AI.

Generative AI custom data fine tuning with google cloud vertax ai

This projects aims to demonstrate an MLOps level-2 systems using Kubeflow and Vertex AI. The model is a content-based recommendation system that recommends similar tracks based the artist, song tags, and playcount of the current track.

DataPilot is a next-generation autonomous data intelligence platform enabling real-time analytics, AutoML, and decision-grade insights at scale. It unifies data ingestion, visualization, and model orchestration through an interactive, no-code pipeline architecture. Powered by Gemini, DataPilot transforms raw data into actionable intelligence wi

Minimal model inference REST API (FastAPI, scikit-learn). Health and predict endpoints, tests, Docker. Project for AI platform components.

The repository walks through a Data Scientist focused way of building and deploying Machine Learning models on Google Cloud

Starter stack to self host a Generative AI Platform

A backend service that manages and routes AI prompts safely and efficiently—the kind of tooling an AI Platform team would own.