Bhargav B S

I'm building AI-driven systems with Python, TensorFlow, and real-world data, including an AI Code Quality Analyzer that identifies source-code errors through machine learning and rule-based techniques.

I've developed backend logic and web interfaces for real-time code evaluation, and I’m designing an end-to-end machine learning prediction pipeline using Scikit-learn, feature engineering, model selection, and evaluation metrics. My projects include plans for Flask or FastAPI deployment, Docker, AWS/GCP integration, and continuous model improvement practices.

I also built a web-based Sorting Algorithm Visualizer with JavaScript animations, responsive controls, and practical demonstrations of Bubble Sort, Merge Sort, and Quick Sort. Across projects, I’ve achieved 90%+ model accuracy and reduced execution time by 30–40% through optimization and efficient data structures.