I investigate digital evidence, reconstruct security incidents, and build forensic tools that surface the truth hidden inside devices and networks.
"Digital evidence doesn't lie — it only needs the right analyst to make it speak."
I'm a postgraduate student at one of India's premier institutions for forensic science, building deep expertise at the intersection of digital forensics and information security. My work spans mobile device forensics, network analysis, incident response, and security tooling — always with an investigator's mindset: methodical, evidence-driven, precise.
Currently interning at Central Forensics Science Laboratory, Chandigarh (June 2026), I've also gained hands-on experience at Netsmartz in cybersecurity operations and Super Student in quality assurance. I'm an active CTF competitor and continue building open-source tools that aid forensic investigation workflows.
My undergraduate foundation in Computer Applications from Amity University (77.1%) gave me the programming and systems depth that now powers my forensic research at NFSU Goa.
Central Forensic Science Laboratory — gaining hands-on exposure to real-world digital forensics casework, evidence acquisition, examination workflows, and forensic reporting under expert supervision.
Vulnerability assessments, security monitoring, and incident analysis within a professional cybersecurity environment. Applied tools including Nmap, Wireshark, and Burp Suite in structured assessment workflows.
User acceptance testing, quality assurance processes, systematic bug identification and reporting. Developed rigorous documentation skills and an eye for software behaviour edge cases.
Master of Science in Digital Forensics and Information Security at the National Forensics Science University, Goa — one of India's premier forensic science institutions.
Active participant in Capture The Flag competitions across forensics, web security, cryptography, and reverse engineering categories. Platforms include CTFtime, HackTheBox, and TryHackMe.
Automates artefact extraction from Android devices, runs AI-based weapon detection using a custom YOLOv8s model, and generates self-contained forensic reports through a Flask web interface. Built for real investigative workflows.
Python project combining file encryption, image steganography for covert data embedding, and face recognition — all accessible through a unified, user-friendly Tkinter GUI.
Co-created a machine learning–based movie recommendation system incorporating Explainable AI (XAI) techniques to interpret and surface the reasoning behind model predictions to end users.
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Built a forensic tool automating artefact extraction, AI-based weapon detection via YOLOv8s, and self-contained report generation through a Flask web interface.
2026Completed the Google Cybersecurity Professional Certificate — covering threat detection, incident response, network security, and security operations fundamentals.
CompletedAchieved an overall IELTS band score of 8.0 in 2025. Listening 8.0 · Reading 8.5 · Writing 7.0 · Speaking 7.5 — demonstrating strong academic English communication.
2025Participated in and assisted in organising multiple on-campus Capture the Flag competitions. Active on TryHackMe Cybersecurity 101 learning path to sharpen practical skills.
OngoingServed as elected Class Representative during undergraduate studies at Amity University, acting as the primary liaison between faculty and the student body.
2022–2025Contributed to community service through the National Service Scheme (NSS). Active in college cultural clubs — Theatre, Dance, and Fashion — in scripting, acting, and technical support roles.
2022–2025Open to internships, research collaborations, and digital forensics consulting opportunities.
Currently open to internships, part-time research collaborations, and freelance forensic consulting engagements.