$ whoami
Cybersecurity and scam awareness, in plain English and Hinglish
I'm Madhav Pandya, from Mumbai, and the founder of CyberWithMadhav, where I explain cybersecurity and scam awareness in plain English and Hinglish.
📍 Mumbai, Maharashtra, India
Hi, I'm Madhav Pandya. I live in Mumbai, and I started CyberWithMadhav so that beginners can learn cybersecurity and families can spot scams before they lose money. Most cybersecurity content is either too technical or too scary. I wanted to do the opposite, so I explain things in plain English and Hinglish, the way I would explain them to a friend or a family member.
Hands-on troubleshooting of PCs, networks and user accounts keeps me honest about what actually goes wrong online: weak passwords, rushed clicks, and fake messages that look just convincing enough. I am pursuing a BCA with a specialisation in Cloud Computing and Cyber Security, and I am also studying law through a BA LLB at KES Shri J.P. Law College. The law side shapes a lot of my content, because knowing what the IT Act 2000, the DPDP Act 2023 and CERT-In directions say helps me explain your rights and what to do when something goes wrong.
Outside study, I build and share small projects on GitHub, like geoimg-osint, an image geolocation OSINT toolkit, and homelab-toolkit, a set of defensive Python utilities for home labs. I keep learning in public, and I would rather say "I am still learning this" than pretend to know everything. If you have a question, a correction or an idea for a topic, reach me on LinkedIn, Instagram, YouTube, GitHub or at madhavpandya@zoho.in.
CyberWithMadhav content is for awareness and education. Legal topics are explained in general terms and are not legal advice.
education
certifications
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This site: a beginner roadmap, cheat sheets, CTF practice, a scam encyclopedia, defensive AI prompts and Indian cyber law, in plain English and Hinglish.
Image geolocation OSINT toolkit: EXIF/GPS extraction, OCR clue extraction, India specific location hints, manipulation checks and confidence scored reports.
Ethics: use it only on your own images or with the owner's consent, never to locate or track private individuals.
Defensive Python utilities for an owned home lab: local listening socket inventory, file integrity hashing, and session notes.
