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codeNinja62/README.md

Sameer Ahmed

Systems Engineer & Embedded Specialist Architecting low-latency, memory-safe systems at the hardware-software interface.


0x01 // Engineering Context

I am a Computer Science undergraduate specializing in Systems Programming, Embedded Linux, and High-Performance Computing. My philosophy prioritizes rigorous memory management, cache locality, and zero-cost abstractions. I am currently focused on optimizing application-layer logic for bare-metal and kernel-space environments.

// Engineering_Profile.c

struct Core_Competencies {
    const char* systems_design  = "Linux Kernel, Buildroot, FUSE Drivers";
    const char* hpc             = "Multi-threading (epoll), SIMD, Cycle-Accurate Simulation";
    const char* security        = "Binary Analysis, Buffer Overflow Mitigation";
    const char* target_arch     = "RISC-V, x86_64, ARM";
    
    Language primary_stack[]    = { CPP_20, C11, RUST, RISCV_ASM };
};

// Current_Focus (Feb 2026)
const char* active_projects[] = {
    "Cycle-Accurate RISC-V Simulation in C++",
    "Embedded Linux RootFS Optimization (<50MB)",
    "Kernel-Bypass Networking (DPDK/epoll)"
};

0x02 // Technical Stack

Domain Proficiency & Tooling
User Space C++20 (RAII, Move Semantics), Rust (Safety), C11 (POSIX)
Kernel/OS Linux Syscalls, Buildroot, FUSE, eBPF, Process Scheduling
Architecture RISC-V ISA, Pipeline Hazards, Cache Coherency, Memory Models
Analysis GDB, Valgrind, Perf, LibMagic, CMake, Docker

0x03 // Selected Engineering Projects

System Simulation & Architecture

  • Objective: Architected a cycle-accurate RISC-V CPU simulator in C++17.
  • Mechanism: Modeled a 5-stage pipeline with software-defined hazard detection and custom ISA extensions (LNZ/ZMUL).
  • Metric: Achieved 3.01x speedup on sparse matrix workloads via architectural optimization.
  • Stack: C++17, RISC-V ASM, CMake

Systems Security & FUSE

  • Objective: High-performance user-space ransomware detection system.
  • Mechanism: Real-time Deep Content Inspection (LibMagic) and Entropy Analysis to detect encryption.
  • Metric: 11x Performance Gain achieved by rewriting core logic from Python to C; < 7MB Memory Footprint.
  • Stack: C (libfuse3), Linux API

OS Development

  • Objective: Custom Linux OS build for legacy x86 hardware.
  • Mechanism: Replaced glibc with musl, implemented BusyBox, and stripped RootFS.
  • Metric: Reduced OS footprint to < 50MB with sub-second boot times.
  • Stack: Buildroot, Linux Kernel v6.x, BusyBox

0x04 // Connectivity & Metrics

GitHub Stats Top Languages

Email: sameer.cs@proton.me LinkedIn: linkedin.com/in/sameerexplorer Portfolio: sameer.pk [WIP]

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