Professional Overview
As an AI Engineering student, my work primarily focuses on the end-to-end development of machine learning pipelines, specifically data preprocessing, predictive modeling, and computer vision. I regularly use Python as my primary programming language, alongside tools and libraries like TensorFlow, Keras, scikit-learn, and SQL for data management. One key project I built from scratch was an AI-powered Heart Stroke and Failure Prediction system. It changed how patient health parameters are analyzed by automating the data cleaning and feature engineering stages, making it possible to catch subtle risk factors and predict health risks much earlier and with higher precision than manual reviews.
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
