I’m a computer science student who became deeply interested in compilers after realizing how much happens between writing a line of code and seeing it execute. Since then, I’ve been exploring systems programming, LLVM internals, operating systems, and backend architecture.

I prefer understanding fundamentals over chasing trends. If I use a tool, I want to know how it works internally. If I rely on an abstraction, I try to rebuild a smaller version of it myself.

• compiler design (lexing → parsing → IR → optimization → code generation)
• LLVM internals and intermediate representation
• operating system concepts
• systems programming
• backend and distributed systems
• mathematics for computer science

C   C++   Rust   Haskell   Assembly

Clang / LLVM
GDB / LLDB
CMake / Ninja
perf / valgrind
QEMU
Linux tooling

• build a small but complete compiler from scratch
• understand operating system internals deeply
• design efficient backend systems
• contribute meaningfully to serious open‑source projects

1. read books and real source code
2. reimplement core ideas in small projects
3. measure performance and analyze trade‑offs
4. write structured notes
5. repeat until it truly makes sense