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Systems Architect • ML Engineer • Low-Level Enthusiast
🎓 NIT Hamirpur — Dual Degree (B.Tech + M.Tech), Computer Science & Engineering |
| Domain | Skills & Technologies |
|---|---|
| Low-Level | Rust C C++ x86_64 Assembly Linux Kernel |
| AI & Vision | PyTorch OpenCV TensorRT CUDA Deep Learning |
| Systems | Bare-metal OS Memory Management Distributed Systems |
| Dev Tools | GDB Valgrind Perf LLDB Docker Git |
- Systems Programming — Building memory-safe, high-concurrency engines in Rust and C++. Zero-cost abstractions, fearless concurrency, and deterministic performance.
- Computer Vision — Optimizing real-time perception pipelines for unstructured environments using TensorRT, CUDA, and custom inference backends.
- Kernel Research — Implementing OS components from scratch: demand paging, custom schedulers, memory allocators, and AI-assisted fault detection modules.
- Competitive Programming — Pushing the limits of time/space complexity on hard algorithmic problems under strict constraints.
