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MegarusherSamarth/README.md

πŸ‘‹ Hi, I'm Samarth Agarwal (MEGARUSHER)

πŸš€ Visionary technologist & systems architect
⚑ Building modular, audit-ready HFT simulators and secure e-voting platforms
πŸ“Š Focused on scalable backend architectures, data science, and research-ready workflows


πŸŽ“ Education

  • B.Tech, Computer Science & Engineering – Graphic Era Hill University (2022–2026)

πŸ”§ Skills

Programming:

Databases:

Tools:

Web & CMS:

Data Science & ML:


πŸ’Ό Work Experience

  • Cyber Security Intern – Graphic Era Hill University

    • Trained in network security, threat detection, and Cisco Network Academy curriculum.
    • Conducted vulnerability analysis and applied defensive strategies.
    • Achieved Cisco certifications in Network Defense & Cybersecurity Essentials.
  • Web Developer Intern – Cypher Squad LLP

    • Built a fully functional e-commerce site using WordPress & WooCommerce.
    • Customized themes, plugins, and payment gateways.
    • Ensured responsive design and cross-browser compatibility.

πŸ“‚ Projects

  • High Frequency Trading Simulator Tech Stack: C/C++, std::thread, nlohmann/json

    • Modular C++ HFT simulator with multi-threaded backend.
    • UDP market data listeners, JSON parsing, latency modeling.
  • Lexical Analyzer Tech Stack: Python (re, sys)

    • Tokenized source code into finite state automata.
    • Regex-based recognition for efficient parsing.
  • Deadlock Simulator Tech Stack: Python (sys)

    • Implemented Banker's Algorithm to detect/prevent deadlocks.
    • Simulated OS-level concurrency and resource allocation.

πŸ“œ Certifications

  • Oracle SQL Explorer – Oracle
  • Cybersecurity Essentials – Cisco & GEHU
  • Data Analytics with Python – IIT Roorkee
  • AWS Cloud Practitioner Essentials – AWS
  • Programming in Java – IIT Kharagpur

πŸ“Š GitHub Stats

GitHub Stats GitHub Streak


🌌 Futuristic Vision

I design systems that are:

  • Modular – clear separation of concerns
  • Scalable – ready for live data and production workloads
  • Audit-Ready – transparent logs and reproducible outputs
  • Demo-Friendly – polished visuals and safe runtime safeguards

πŸ“« Connect


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