I'm a Computer Science undergraduate specializing in Artificial Intelligence, Machine Learning, Data Science, and Full-Stack Development.
My work spans building machine learning pipelines, predictive models, and REST APIs using Python, Flask, FastAPI, React, SQL, and Scikit-learn. I move across the full lifecycle — data preprocessing, feature engineering, EDA, model evaluation, and NLP — and I've carried that into internships delivering AI solutions on cross-functional team timelines.
Models shipped against real stakeholder timelines.
A Retrieval-Augmented Generation chatbot that decides for itself when document retrieval is worth the cost — improving response quality while cutting unnecessary lookups. Semantic search, vector embeddings, and an LLM working together through an interactive chat interface.
A FastAPI + React application that catches security vulnerabilities before a human has to — combining Semgrep static analysis with a custom Python AST parser.
An AI-powered ATS resume analyzer that uses NLP keyword extraction to surface missing skills and generate targeted improvement suggestions.