Health Sensing

EUV Source Software Integration

Grader for CS 520: Theory and Practice of Software Engineering

Analyzed Photovoltaic (PV) systems and weather data in the search for relevant trends using Matplotlib and Pandas from 300+ PV systems across Southeast Asia and played a key role in designing and implementing an in-house ETL pipeline in Python to collect, process and store data.

Constructed a web application that operates as an internal tool for engineers to observe and modify data using Javascript, Flask, and Azure SQL. The application provides a user-friendly interface and leverages the power of these technologies to streamline the data management process. Utilized Python to automate PV system performance reports, providing valuable insights to both engineers and clients for monitoring the performance of their systems. These reports aid in optimizing system performance and streamline the work of the engineers

Worked on project aimed to classify images as indoor or outdoor using machine learning techniques. A dataset of images was collected, preprocessed, and used to train Convolutional Neural Networks (CNNs) for classification. The best performing model was selected through evaluation and compared with other models such as Google Inception.