Twinkle Vaishnav

AI · Embedded Systems · Machine Learning

Building meaningful AI and software projects, learning continuously, and documenting the journey one step at a time.

I'm a recent 12th-grade student from Indore, starting my B.Tech in Computer Science Engineering in August 2026.

My college hasn't started yet, and I'm knee-deep in Edge AI and embedded systems — flashing boards, breaking builds, and figuring out how to fix them again. My main hardware is an NVIDIA Jetson Orin Nano 8GB, given , which has become the base for everything I build. Alongside that, I'm constantly exploring new technologies, experimenting with different tools, and expanding my skills across the AI software stack.

I document the real process — including the errors most tutorials leave out — on YouTube and LinkedIn, while I keep learning Python, Linux, and how LLMs actually work under the hood.

2026B.Tech CSE begins

8GBJetson Orin Nano

100%self-taught

What I work with

Python Programming Machine Learning (Currently Learning) Edge AI Embedded Systems (Jetson) Linux React (Frontend Development) Large Language Models (LLMs)

Things I've built

In progress

Full-stack LLM chat app on Jetson

A locally-hosted chat application running Llama 3.2 3B on-device — llama.cpp serving the model, FastAPI backend, MongoDB Atlas for chat history, React frontend, exposed via Cloudflare Tunnel.

llama.cpp · FastAPI · MongoDB · React · CUDA

Completed

Jetson flashing & recovery

Full CLI flashing workflow for the Jetson Orin Nano, including a board-specific external device fix, plus recovery from a broken GPU driver state after a bad system upgrade.

L4T · JetPack · Bash · Linux

Completed

Stable Diffusion on the edge

Ran Stable Diffusion Turbo directly on the Jetson, generating images in roughly 3.7 seconds after resolving a GPU driver bug that had broken the board.

Stable Diffusion · CUDA · Python

Explored

YOLOv8 object detection

Set up and tested YOLOv8 for real-time object detection on Jetson hardware as part of exploring on-device computer vision.

YOLOv8 · Python · CUDA

Planned

On-device voice assistant

A fully offline voice assistant running speech-to-text and an LLM locally on the Jetson — no cloud calls, everything on the edge.

Whisper · llama.cpp · Python

Planned

Technical blog

A written companion to my videos — deep dives into the errors, fixes, and edge-AI experiments that don't fit in a short video.

Writing · Edge AI · Linux

How I got here

  1. Learning Linux & the command line

    Started from zero on Linux — file systems, the terminal, and how a real development environment works.

  2. Flashing the Jetson Orin Nano

    Documented the full CLI flashing workflow, including a board-specific device fix that most tutorials skip.

  3. Recovering a broken board

    Fixed a GPU driver bug after a bad system upgrade — then ran Stable Diffusion Turbo generating images in ~3.7s.

  4. Building a full-stack LLM app

    Currently running Llama 3.2 3B on-device with a FastAPI backend, MongoDB, and a React frontend.