📓 what is this blog?
this is my learning journal. i write about what i'm studying — python, machine learning, statistics, java, quant finance — in a way that's honest and practical. not polished tutorials, just real notes from someone figuring things out.
if you're also learning tech and sometimes feel lost, you're in the right place.
🧠 what am i studying?
right now i'm focused on building the foundation for quant development — which means a mix of computer science, math, and systems programming. my day-to-day involves python (data structures, algorithms, oop), c++ fundamentals, sql, and docker.
on the ml side i'm working through pytorch and building small projects to make things stick.
🎯 where am i going?
my goal is quant development — writing the systems that power algorithmic trading and financial models. it's a long road but i'm on it deliberately.
i'm also open to ml/ai engineering and mlops roles as an entry point into the industry. open to opportunities anywhere in the us.
if you're hiring or want to connect, reach out ↓
🛠 the stack i'm building
tools i'm actively learning and using — always growing:
Python
C++
PyTorch
SQL
Docker
FastAPI
Next.js
NumPy
Git
Linux
Operating System
TensorFlow