CHARUVI User

I'm building a real-time maritime situational-awareness system at Bharat Electronics Limited, using computer vision to detect and classify ships from camera and video feeds. I train and evaluate object-detection models and integrate weather and forecast data into a unified monitoring interface.

I built Ordinex (RegAI), an LLM-driven RAG compliance platform that reduced privacy-policy and terms-review time from over four hours to under 30 minutes. The platform benchmarks policies against GDPR and country-specific regulations, identifies gaps, scores risk, and generates cited remediation suggestions.

I've also built SecTriage, which normalizes Nmap and OWASP ZAP findings and uses the Claude API to classify vulnerabilities and generate remediation reports. My Sportify computer-vision classifier reached approximately 85% accuracy, while my rubric-management platform reduced instructor grading time by approximately 60%.

I'm a Computer Science and Engineering student with strong foundations in DSA, operating systems, networks, databases, and system design. I like turning ambiguous problems into deployed, measurable systems using Python, JavaScript, AI/ML, Firebase, and cloud tooling.