3rd-year AI & Data Science student at ZUJ, focused on Machine Learning, NLP, Computer Vision, and Generative AI — building intelligent systems that bridge software engineering and AI to solve real-world problems.
KA
3rd-year AI & Data Science student at ZUJ with hands-on experience in Machine Learning, Natural Language Processing, Computer Vision, and Generative AI. Skilled in Python, data analysis, and visualization, with supporting full-stack skills for building the applications that put models to work. Currently expanding deep knowledge in LLMs and Transformers while bridging software engineering with AI/ML.
Mastering 7 classification algorithms on Breast Cancer Wisconsin Dataset with performance comparison and confusion matrices.
Comparative analysis of 5 regression models on real-world power plant dataset with comprehensive performance metrics.
Complete classification project with k-Fold cross-validation and detailed evaluation metrics for medical data analysis.
Full-stack Node.js app for tracking books with automatic cover fetching via Open Library API and PostgreSQL storage.
Redesigned agency website with animated orbital hero, Font Awesome icons, and immersive full-screen sections.
Complete Notes/Blog API with Express.js, Axios, EJS — separate API server and frontend server architecture.
Modern React notes app using Material UI for dynamic note management with a clean, responsive interface.
Track and visualize countries visited by family members with an interactive map interface and per-user profiles.
Verified learning from Microsoft and industry-leading instructors
Open to collaborations, opportunities, and interesting conversations.