
Veridex
Real-time phishing detection across emails, SMS, and URLs using machine learning, NLP, and explainable AI.
Computer Science Engineering student specializing in AI/ML, reliable backend systems, and thoughtful digital experiences that turn complex engineering into practical software.

Real-time phishing detection across emails, SMS, and URLs using machine learning, NLP, and explainable AI.

An AI-powered contract intelligence system that untangles legal contradictions and allows lawyers to program custom risk severity logic.

AI-powered nutritional tracking platform featuring computer vision for meal logging and personalized diet planning.
I am a Computer Science Engineering student specializing in AI/ML at CMR University, Bangalore. My work focuses on building practical machine learning systems, high-performance backend architectures, and thoughtful software that solves concrete engineering problems.
Curated frameworks, languages, and systems I use to build scalable AI/ML pipelines, backend services, and interactive software.
Academic foundation at CMR University, national hackathon finalists, and milestones shaping my engineering trajectory.
Specializing in Artificial Intelligence and Machine Learning. Relevant coursework includes Machine Learning, Data Structures & Algorithms, Operating Systems, Database Management Systems, and Scalable Backend Architecture.
Engineered Veridex, an edge-AI phishing detection system combining TF-IDF and Random Forest with LIME explainable AI attribution and a Chrome extension client.
Architected Knot, a contract intelligence engine that layers a programmable, deterministic rule engine over Google Gemini Pro to identify legal contradictions.