I am a final-year CSE student with a strong foundation in scalable software development. My current research and development focus heavily on Artificial Intelligence, specifically engineering Multimodal Deep Learning models and Dual-XAI (Explainable AI) frameworks for complex tasks like medical imaging classification.
Beyond academic research, I am a Kaggle Notebooks Expert, experienced in applying Reinforcement Learning (Deep Q-Learning) to dynamic real-time systems. I thrive on architecting data-driven solutions that bridge the gap between complex algorithms and real-world impact
- AI & Machine Learning: TensorFlow, Keras, Scikit-learn, Deep Q-Learning, Multimodal Fusion, Explainable AI (Grad-CAM, SHAP)
- Languages: Python, Java, C, C++
- Web Development: Flask, SQLite, HTML5, CSS3, Bootstrap, jQuery
- Databases & Tools: Oracle Database, Git, GitHub, Lens Studio (AR)
- Core Engineering: Data Structures & Algorithms (DSA), Object-Oriented Programming (OOP), Experimental Design & Benchmarking
