Vanshaj Bhat

I'm building practical technology projects, including Sentinel AI, a real-time violence detection system that uses MobileNetV2, TensorFlow/Keras, and OpenCV to identify suspicious activity from video streams.

For Sentinel AI, I trained a CNN on labeled video datasets and optimized the inference pipeline for low-latency alerts, achieving 96% accuracy, precision, and F1-score. I also developed a responsive personal portfolio website using HTML, CSS, and JavaScript.

During my cybersecurity internship at AKS IT Services, I supported vulnerability assessment and penetration testing across enterprise network and web environments. I worked with reconnaissance, vulnerability identification, Linux and Kali Linux environments, and tools including Nmap, Wireshark, Burp Suite, and Nessus.

I'm also active in student leadership through the Training & Placement Cell and Google Developer Student Clubs, where I've coordinated placement communication, technical workshops, coding competitions, and guest sessions.