Hi — I’m gdpark.
I’ve been studying physics, finance, CFA, and AI for a while now, and I keep the messy, conversational notes that helped me actually understand things. Not the sanitized textbook version — the version that sounds like a friend working it out at a whiteboard.
I first built much of this archive under the same gdpresent / gdpark
author identity. Over time that earlier notes collection picked up
11,104 subscribers and 3.84M cumulative reads — somehow people found
that kind of conversational explanation useful.
This site (gdpark.blog) is the author-maintained English edition. I rewrite
and edit the notes for English readers, update terminology, correct mistakes
when I find them, and keep the “studying out loud” feel intact.
Originality and editorial status
Every post on gdpark.blog is based on notes I originally wrote myself under
the same author identity, gdpresent / gdpark. This is the standalone English
edition of my own study archive, edited by the same author. I use earlier notes
as source material, but I also revise wording, fix discovered errors, rebuild
images into English where needed, and keep each article focused on English
readers. Provenance is documented at the site level here and in the editorial
policy, instead of being repeated as an outbound source link on every article
page.
Background
A quick credibility check, since the casual voice can read as casual all the way down:
- B.S. in Physics — the mechanics / EM / quantum / thermal-stat / modern / special-relativity sequences here are my own working-through-it notes on the standard Griffiths / Goldstein / Reif curriculum, not popular-science summaries.
- B.S. in Global Finance (second undergrad degree) — micro/macro, money & banking, basic investing, corporate finance, derivatives, and financial engineering all map to coursework I actually sat through. Now working as a quantitative researcher in the financial industry, so the practical end (pricing, hedging, portfolio construction, the Greeks) is also day-job material.
- M.S. in AI — ongoing study + research. The ML / deep-learning track is just starting on this site; more is coming.
- CFA: passed Level 1 and Level 2. The CFA notes here are the study material I built for myself going through the curriculum.
So when a post says “this is the part that confused me at first” — that’s literal, not affectation. The notes are how I worked it out.
What’s here
- Physics — classical mechanics, electromagnetism, quantum, thermal & statistical, modern, special relativity. Plus the math you actually need to follow it.
- Finance — corporate finance, derivatives, financial engineering, micro / macro economics, money & banking, basic investing.
- CFA — Level 1 and Level 2 study notes.
- AI — machine learning, deep learning.
What this isn’t
A textbook. A reference. A polished course. The whole point is the thinking out loud — the missteps, the analogies, the moments where the answer clicks. If you want a textbook, the actual textbook will always be better. This is the friend explanation in the margin of the textbook.
Get in touch
- Comments: each post has a comment section at the bottom (powered by GitHub Discussions — sign in once with GitHub and you’re set).
- Email: presentgdpark@gmail.com
- GitHub: @gdpresent — open an issue if something on the site is broken.
- RSS: subscribe at /index.xml or any reader of choice.
Earlier Notes
The earlier notes collection currently has:
- 11,104 subscribers
- 3.84M cumulative reads (3,837,063)
- ~520 posts across physics, finance, CFA, and AI
gdpark.blog is the curated English edition built from that author archive.