Focused on Neural Networks, Predictive Modeling, and Algorithmic Efficiency.
Implementing Linear/Logistic Regression, Decision Trees, and Neural Networks with optimized train/test splits.
Strong foundation in C++ DSA. Expert in complexity analysis, sorting optimization, and graph theory.
Bridging the gap between ML models and users via Django/Flask REST APIs and Tailwind CSS.
"Focusing on the 7th-semester transition from academic theory to industry-standard AI deployment. Currently mastering Advanced DBMS and Neural Architecture."
Currently open for ML Internships and Projects.