I've built SentinelX at MatryxSoft Tech LLP, a Chrome extension that flags phishing and malicious sites before users interact with them. I combined URL entropy analysis, domain reputation scoring, heuristic classifiers, allowlisting, and session caching to reduce false positives.
During my AI and Cybersecurity internship, I led QA and security testing across web and mobile applications, creating test plans and triaging vulnerabilities by severity. My work helped ensure zero critical defects reached production.
I also developed a real-time hand-gesture application launcher using Python, OpenCV, MediaPipe, and Flask, translating gestures into system-level commands with sub-second response times. For LLM applications, I designed a RAG pipeline using LangChain, FAISS, OpenAI API, and Flask to ground responses in user documents and improve factual precision.
I'm pursuing a B.Tech in Computer Science and Engineering with an AI & ML specialisation and Cyber Security honours at CHRIST University. I also co-authored a 2026 book chapter on quantum-enhanced heart disease prediction using classical and quantum machine learning models.
