
Dedicated and detail-oriented Computer Science student with 3.5 years of software development experience. Proficient in full-stack development, with experience building practical, real-world technologies such as machine learning-based mobile apps and cross-platform desktop applications. Skilled in agile environments, delivering scalable and reliable solutions using technologies like JavaScript, Python, C/C++, SQL, Flutter, and others. Eager to contribute to innovative technologies that directly improve lives and businesses through impactful and meaningful solutions.
Activity Analyzer, 08/01/24:
Developing an activity analyzer using wearable sensor data from the Sussex-Huawei Locomotion Dataset and MongoDB to provide real-time activity recognition and prediction for connected devices, through a user interface. Applying frequency spectrum analysis and designing a scalable machine learning application for activity prediction, using Hadoop MapReduce and Apache Spark to ensure parallel data processing for efficient, high-volume real-time insights.
Spreadsheet Application, 01/01/24 to 04/01/24
Developed a full-stack Excel-like application using C# and WinForms, letting users create, manipulate, and evaluate spreadsheet formulas., Implemented an expression tree engine to handle cell dependencies and formula computation. Utilized NUnit for unit testing, ensuring accurate calculations and robust error handling, and utilized the fs module for file handling to save and load spreadsheets.
Delta Sigma Phi Fraternity: