I am a PhD researcher at Ahmedabad University specializing in artificial intelligence for cybersecurity, blockchain security, and fraud detection. My work focuses on applying machine learning to protect large-scale distributed and decentralized systems from emerging threats.
Strong foundation in network security, penetration testing, vulnerability assessment, incident response, SIEM monitoring and digital forensics.
Exploring blockchain systems with focus on smart contract risks and cryptocurrency fraud detection.
Applying machine learning and deep learning to cybersecurity problems including phishing detection, fraud detection and anomaly detection in distributed systems.
Artificial Intelligence, Blockchain and Cyber Security.
Focus on Network security, malware analysis, digital forensics and penetration testing.
Took courses on software engineering, management, algorithms, and computer networks.
Applying machine learning for fraud detection, anomaly detection, and intelligent security automation.
Researching smart contract risks, DeFi threats, and cryptocurrency fraud detection.
Protecting digital infrastructure through threat detection, incident response, and security analytics.
Security and privacy challenges in large-scale distributed and decentralized systems.
Providing security assessments, vulnerability analysis, and guidance on strengthening organizational security posture and risk management.
Experience with SIEM deployment, log analysis, alert triage, and incident response workflows in Security Operations Center environments.
Applying machine learning to fraud detection, anomaly detection, and intelligent threat analysis in modern digital systems.
Researching smart contract risks, DeFi vulnerabilities, and cryptocurrency fraud detection using AI-driven approaches.
Disk imaging, memory forensics, and investigation support for cybersecurity incidents and evidence analysis.
Academic writing, literature reviews, and technical documentation in cybersecurity, artificial intelligence, and blockchain systems.
Designed and trained a CNN-based model to detect phishing websites using feature engineering, dataset preprocessing, and model performance evaluation.
Implemented Wazuh and Splunk for real-time log monitoring, alert triage, and incident response in a simulated Security Operations Center environment.
Performed forensic disk imaging using Tableau TX1 and conducted memory analysis using FTK Imager and Volatility.
Conducted static and dynamic malware analysis to understand malicious behaviour, persistence techniques, and system compromise methods.
Designed and implemented a deep learning–based phishing website detection model as part of my Master’s thesis, focusing on feature engineering, dataset preprocessing, and model performance evaluation.
Worked across SOC operations and digital forensics, performing log monitoring, alert triage, SIEM configuration (Wazuh & Splunk), network traffic analysis with Wireshark, and forensic imaging using Tableau TX1.
Supported multiple academic research projects through data collection, data cleaning, literature review, and research documentation across several clinical research studies.
Certified in Cybersecurity
Endpoint Security
AWS Cloud Foundations
Security+ Certification(ongoing)
GOOGLE AI Essential
ISO/IEC 27001 Information Security Internal Auditor
India