Full Stack Developer & AI/ML Engineer building real-world solutions at the intersection of deep learning and scalable web systems.

• 🎓 B.Tech in Information Technology @ GGSIPU — CGPA: 8.8 / 10
• 🏢 Currently AI-ML Intern @ Global Next Consulting India Pvt. Ltd.
• 🏆 IIT Guwahati — Summer Analytics 2025 Capstone Participant
• 🔬 Working on MediScan AI — a multi-disease detection system with CNN-Transformer hybrid & Grad-CAM explainability
• 💡 Passionate about end-to-end ML pipelines, medical imaging AI, and production-ready architectures
• 📍 New Delhi, India

Python Flask ReactJS DenseNet-121 EfficientNet-B3 Grad-CAM

A unified deep learning platform for detecting chest, skin, retinal, and brain diseases from medical imaging data (X-ray & MRI).

• 🔬 Hybrid CNN-Transformer architecture with Grad-CAM for explainable AI diagnostics
• 💻 Full-stack UI built with Flask + ReactJS — production-ready and live
• 🧬 Targets real-world clinical AI challenges with multi-modal disease detection

Python XGBoost Pandas Geospatial Features

ML pipeline predicting parking demand using temporal and geospatial features to optimize real-time pricing and revenue.

• 📈 XGBoost model trained on end-to-end feature-engineered data pipeline
• 💡 Tiered pricing strategy to balance lot occupancy and maximize space utilization
• 🏆 Capstone project — Summer Analytics 2025, IIT Guwahati

Python OpenCV TensorFlow GLCM SVM

Hybrid deep learning + classical ML pipeline for multi-class brain tumor classification from MRI scans.

• 🖼️ Advanced GLCM texture feature extraction via OpenCV for rich image representations
• 🤝 EDN + SVM hybrid for high-precision automated diagnostic assistance
• 🏅 Delivered as Intel AI for Future Workforce Program capstone at BVCOE

I'm always open to collaborating on AI/ML projects, full-stack applications, or anything that solves real-world problems.