Exploring the tools and experiments behind AI.

I'm Ayushi — a software engineer at Microsoft who spends her spare time picking apart agents, GPUs, and generative models to see how they tick.

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Explorations and Concept Breakdowns

Building AI Agents on Azure with AI Foundry

A practical guide to building and scaling AI Agents on Azure using AI Foundry, while briefly touching upon Copilot Studio.

  • Azure AI Foundry
  • Agentic AI
  • Azure
  • CI/CD
  • Authentication Techniques

GPU Computing with CUDA: Shared memory

Understand CUDA shared memory, synchronization, and caching with a 1D stencil example to optimize GPU performance and thread coordination.

  • CUDA
  • Shared Memory

Introduction to GPU Computing with CUDA

A beginner’s guide to GPU computing with CUDA to learn about threads, blocks, memory management, and vector addition with clear code examples.

  • CUDA
  • GPU Fundamentals

Finetuning LLMS for classification

Turn LLMs into classifiers with LoRA/QLoRA, instruction tuning, and smart architectures, plus Kaggle takeaways and tips.

  • LLMs
  • Fine-tuning
  • Kaggle

Thinking in Papers

Different flavours of GANS

An in-depth guide to understanding how different GAN architectures work from loss functions and training tricks to latent space control in InfoGAN, StyleGAN, and BigGAN.

  • GANs
  • Deep Learning
  • Image Generation

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