Professional Overview
MS Artificial Intelligence Student with hands-on machine learning internship experience and a portfolio of applied deep learning and machine learning projects spanning computer vision, audio signal processing, imbalanced classification, and explainable AI. Skilled in building end-to-end ML pipelines, from data preprocessing and feature engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.