Curriculum Vitae

PDF available upon request.

Skills

• Languages: C, C++, Python, Rust, Bash, RTL/Verilog
• Core Competencies: Advanced Algorithms, OS Architecture, Embedded Systems, Microarchitecture
• Hardware & Tools: QEMU, Linux, Git, Docker, STM32, ESP32, OpenLane

Open Source & Aspirations

I have severe ADHD, meaning my interests are broad but extremely intense. I contribute to (or actively hack on) the following ecosystems:

Linux Kernel, LLVM, Ladybird, FOSSi.

Systems & Hardware Projects

• Custom RISC-V Operating System: Bootstrapped an OS kernel for the RISC-V architecture from scratch in C based on xv6. Compiled and verified via QEMU emulation.
• Linux Kernel & Syzbot Debugging: Actively study kernel architecture. Debug low-level C code to reproduce Syzbot bug reports.

Experience

• Edge ML: Implemented C/C++ based ML algorithms on ESP32 edge devices for real-time accelerometer data classification.
• Embedded Systems: Designed power-efficient hardware using STM32, solar panels, and supercapacitors under strict energy constraints.
• Edge Computer Vision: Deployed lightweight CV algorithms on ESP32-CAM.

• Mentor top-performing high school students in advanced data structures, graph theory, and dynamic programming for national/international competitions.

Achievements

• Codeforces Master (Peak Rating: 2244)
• 1st Place - National Olympiad in Informatics
• Gold Medalist - International Zhautykov Olympiad (IZhO)
• Top 5 - Regional ICPC (Lead Programmer)

Education