Projects Overview

This repository features a collection of experimental projects exploring data workflows, AI integration, machine learning, and scalable API services:

Demos (demos/)

• da-agent Interactive data agent workflows prototyped in Jupyter notebooks for rapid experimentation.

• dbt-gpt A production-ready dbt project augmented with GPT-powered tools for semantic modeling and automated metric generation.

• demo-mcp Demonstrates a modular API architecture leveraging FastAPI and FastMCP within a multi-container setup.

Machine Learning Infrastructure

• triton-playground Experiments with deploying NVIDIA Triton Inference Server using Conda and Docker for flexible machine learning model serving.

Coursework (courses/)

• cs336 Stanford CS336 coursework and assignments focusing on deep learning systems and implementation.

Kaggle Competitions (kaggle/)

• playground-series-s5e6 Kaggle Playground Series Season 5 Episode 6 competition solutions and experiments.

Getting Started

Each project contains its own README.md with setup and usage instructions. To begin, navigate to a project directory and follow the provided documentation.