Hey everyone 👋,
I'm Reenmayee, a 2nd-year BTech Computer Science student, and today marks Day 1 of a journey I’ve been dreaming about for a while:
🧠 To explore CUDA Computing + Generative AI and
💼 Land a Google Internship in the future.
🧩 Where I’m Starting From
✅ Just completed one basic ML course on YouTube
🚫 No experience with CUDA
🚫 No major AI projects yet
✅ But 100% committed to learning everything from scratch
🧠 What I’ll Be Learning
Over the next 3 months, I’ll focus on:
CUDA Programming – Learning how to leverage GPUs to accelerate computation
Generative AI – Understanding and using models like GPT, BERT, and Stable Diffusion
Building a Real Project – Combining CUDA + GenAI into something powerful
Writing & Sharing – Blogging weekly here to track and reflect on my progress
📅 My Strategy (in Simple Terms)
Learn something new every week
Build small, focused projects
Share everything: the wins, the struggles, the breakthroughs
💡 Why I’m Blogging
I don’t want to just consume content. I want to:
- Stay accountable
- Help others who are also starting out
- Look back one day and say, “This is how it all started!”
✅ What’s Next?
This week, I’m diving into:
The basics of CUDA via the Udacity Intro to Parallel Programming course
A refresher on PyTorch for GenAI work
I'll be sharing my learnings, resources, and mini-projects soon — so follow along if you're on a similar path! 🚀
Let’s connect:
Feel free to share your thoughts, tips, or if you're on a similar journey, let’s grow together! 💬
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