Cyber Security Student
Cybersecurity Engineer building advanced forensic tools and AI-driven threat detection systems.
I build robust cybersecurity systems, specializing in digital forensics, malware analysis, and AI-driven threat detection. My work focuses on uncovering sophisticated attacks and securing critical digital assets, backed by a proven track record in competitive cybersecurity challenges.
MCP server for IDA pro & Wireshark
Developed an AI-powered Malware Analysis Platform by creating an MCP server for IDA Pro and Wireshark. This system integrates Claude and Codex AI to automate and enhance the analysis of malicious code and network traffic, significantly accelerating threat intelligence gathering.
NTFS Timestomping & Hidden Drive Detection
Engineered an NTFS Forensic Toolkit to detect sophisticated timestomping attacks and hidden drive partitions. This tool provides critical capabilities for incident responders to uncover covert data manipulation and concealed storage within compromised systems.
Deleted File Recovery Tool
Built a GUI-based NTFS Deleted File Recovery Tool that leverages data carving and Master File Table (MFT) analysis. This system enables forensic investigators to retrieve lost or intentionally deleted files, crucial for evidence collection in digital investigations.
QuMail
Designed QuMail, a quantum-secure email service implementing post-quantum cryptography. This project establishes a robust communication channel resilient against emerging quantum computing threats, safeguarding sensitive information for the future.
Rupya Bank Fraud Detection
Developed Rupya Bank Fraud Detection, an ML-based system for identifying banking anomalies and verifying user behavior. This platform enhances financial security by proactively flagging suspicious transactions and preventing fraudulent activities.
DeepFake Detection System
Created a DeepFake Detection System utilizing LSTM networks to identify manipulated video content. This platform addresses the growing threat of synthetic media, providing a crucial tool for verifying digital authenticity and combating misinformation.
BHUJAL
Built BHUJAL, an ML-driven platform for groundwater crisis prediction and analysis. This system applies machine learning to environmental data, offering insights critical for resource management and policy-making.