Projects

• High-Performance Merkle Tree Implementation
  Technologies: C, OpenSSL, Cryptography
  Github Link
  
  Project Overview:
  • Implemented SHA3-256 based Merkle tree system with 1.8GB/s throughput for data integrity verification
  • Engineered 16KB block-size optimization achieving 200-400 MB/s hashing rates with minimal memory overhead
  • Achieved memory-efficient design using contiguous allocation and dynamic buffering for large file processing


• Luhn's Algorithm in Pure Assembly
  Technologies: x86-32 Assembly, System Programming
  Github Link
  
  Project Overview:
  • Developed complete Luhn algorithm implementation in pure x86-32 assembly with zero dependencies
  • Engineered custom standard library (stdlib.asm) recreating C runtime functions using direct Linux syscalls
  • Implemented jump table-based card type detection achieving O(1) dispatch for Visa/MC/Amex/Discover


• DailyCTF Robot
  Technologies: Python3, Discord.py, Bot Development
  Github Link
  
  Project Overview:
  • Feature-rich Discord bot for hosting and managing CTF challenges with role-based management system
  • Built comprehensive command suite supporting challenge lifecycle management, submissions, and feedback collection
  • Engineered modular cog-based architecture ensuring maintainability and scalability across multiple Discord servers


• Paperloop
  Technologies: HTML, CSS, JS, OpenAlex API
  Live Demo
  
  Project Overview:
  • Developed a minimalist web application to streamline academic paper discovery using keyword-based search and random sampling
  • Integrated OpenAlex API to fetch real research papers and dynamically extract abstracts using DOI resolution
  • Designed distraction-free UI to encourage consistent research reading habits by reducing decision fatigue


• AlgoLex - Wordle Solver
  Technologies: Python, Natural Language Processing
  
  Project Overview:
  • Applied Natural Language Processing to analyze word patterns and relationships, improving algorithmic accuracy by 25%
  • Developed advanced algorithms for optimal guess suggestions, achieving 92% success rate in prediction accuracy
  • Leveraged curated word database and frequency analysis for data-driven suggestions, reducing guess time by 30%