Practical projects at the intersection of Data, Machine Learning, and AI Systems
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Learning-focused project exploring Retrieval-Augmented Generation (RAG) for document understanding and question answering. Built an end-to-end pipeline for PDF parsing, embeddings, vector storage, and natural language querying.
Sports data analysis project using historical football match data (2018–2022). Focused on feature engineering and exploratory statistical analysis to understand predictive patterns.
Learning project combining RAG with Large Language Models for educational question answering using Google Gemini API and grounding techniques.
SQL-based exploration of global COVID-19 datasets, focusing on trends in cases, deaths, and vaccinations with Tableau visualizations.
Classic game AI implementing the Minimax algorithm with Alpha-Beta pruning to explore decision trees and adversarial search.
Object-Oriented Programming practice project implementing a classic card game (“War”). Focused on clean class design, inheritance, encapsulation, and game state management.
Open to thoughtful conversations, collaborations, and meaningful work.
Blending Technology, Art, and Ethics — one conversation at a time.