software engineer
Deep-diving into the math behind ML and writing about it.
ML Infra. Incoming S26.
DynamoDB Networking and Connectivity
Shipped an entire product
First job ever. Internal Tools.
Multithreaded chess engine. Can beat me (I'm 1600 🥲)
Compiler for a C++ subset language. LR(1) parsing, generates MIPS.
App that helps correct pushup, squat, benchpress, situp and pullup form
Dives into the math behind evaluation your ML models
How beginners should approach ML
pretty much the title!
Intro to ML for the curious people who have no idea what ML is.