Sumit User

I’m a security-focused undergraduate with hands-on experience in web and API security testing, vulnerability discovery, and responsible disclosure. I’m an active CTF participant (Top ~18%) with a strong interest in offensive security and Python-based automation to make testing more efficient. In my internship, I performed manual testing of authentication, access control, and input validation, then documented logic issues and common vulnerability patterns.

I also automated recon and reporting using Python, improving efficiency by ~30% while supporting consistent, repeatable findings. Through responsible disclosures to organizations including Siemens, NPCI, Harvard University, Porsche, and Indian govt portals, I’ve built a practical, disclosure-first mindset. I bring projects like a TF-IDF/ML fake news classifier (Truth-AI) and a CNN-based skin disease model (EquiDerm) alongside certifications such as DCAP-Defronix Certified Android Pentester and CCEP-Certified Cybersecurity Educator Professional.