I am a Machine Learning Engineer focused on building practical AI systems using deep learning and computer vision. I enjoy designing end-to-end machine learning pipelines that transform raw data into actionable solutions.

My work includes developing image classification models using TensorFlow and building image processing pipelines with OpenCV. I have experimented with multiple feature extraction approaches such as Canny, Laplacian, and Sobel transformations to improve model performance on image data.

I have experience developing full ML workflows including data preprocessing, model experimentation, training pipelines, and deploying models using Streamlit. I have also worked with SQL-based systems and platforms such as Databricks and PySpark for data analysis and processing.

I recently completed a Postgraduate Program in Data Science and Engineering and continue to focus on building scalable machine learning solutions that solve real-world problems.