Now - Anurag Dhungana

🎯 Current Focus

Deep diving into the fundamentals of neural networks and working on projects that explore practical implementations of LLMs and finetuning. The goal is to understand what's actually happening under the hood, not just calling APIs and hoping for the best.

Between grad school projects and side quests, I'm trying to balance learning the theory while building things that actually work.

📚 Learning

Advanced system design patterns and how to architect applications that don't fall apart at scale
Neural network fundamentals - the math, the architectures, and how everything fits together
Evals and how to properly evaluate LLM performance beyond vibes and gut feeling
Better writing and communication - technical skills are only half the battle

🚀 Projects

→NN Class: LoRA Finetuning Project[active]

Finetuning a LoRA model with a custom dataset of all the courses from GWU's School of Engineering. The goal is to build something that actually understands the curriculum and can help students navigate it.

∙Computer Vision: Audio Spectrograms[exploring]

Working on a project involving audio spectrograms for my computer vision class. Still thinking through the specific approach and what would actually be interesting to explore.

⌇This Website & Other Side Quests[ongoing]

Constantly iterating on the design and adding new features. Plus a few other side projects that keep things interesting when I need a break from coursework.

🌱 Life

Reading more books and less Instagram. Trying to hit 30 pages a day - some days I make it, some days I don't, but it's better than scrolling.

Reading Goal → 30 pages/day●●○●●●●(6/7 days • 86%)nov 8 - nov 14

Actively trying to improve my photography skills. Taking more shots, experimenting with different styles, and learning to see things differently through the lens.

Trying to read more articles and blog posts. The goal is to fill up and consume everything that I find interesting - there's so much good stuff out there.

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