BTech AI & ML student at BMSIT (CGPA 9.05) passionate about building scalable software solutions. Experienced in deep learning, computer vision, and full-stack development — currently exploring quantum computing as an intern at Ada Lovelace Software.
Applying fundamental quantum computing concepts to practical and real-world inspired problems. Gaining hands-on experience with quantum circuits, quantum theory, and bridging classical AI/ML knowledge with emerging quantum paradigms.
Built a real-time intrusion detection system achieving 99% accuracy on the CIC-IDS2017 dataset. Implemented Random Forest and MLP classifiers with TensorFlow/Scikit-learn, and optimized performance through feature selection and SMOTE oversampling techniques to handle class imbalance.
Created a custom CNN architecture for Synthetic Aperture Radar (SAR) false-colorization. Engineered perceptual loss functions to preserve structural integrity and achieved 94% SSIM similarity to ground-truth optical references — enabling richer satellite imagery interpretation.
Built a cryptographic key generator leveraging quantum computing principles for enhanced security. Implements quantum random number generation and key distribution protocols, demonstrating practical applications of quantum mechanics in cybersecurity.
Developed a real-time posture monitoring system using computer vision and pose estimation. Detects slouching and poor posture through webcam feed analysis, providing instant alerts to help users maintain healthy sitting habits.