• Managing a team of ~5 to create an online public speaking platform to teach ~300 students• Implementing AGILE software practice to increase team productivity by 20% and complete 33% more tickets• Communicating with teachers and students using the platform to prioritize features that the team can deliver

• Enhancing interview prep by prototyping an interview assistant bot using OpenLLaMA, providing feedback to users• Improving team communication by implementing a mail management and delegation system to centralize communication, improve proxying, and streamline task assignment among teams• Empowering ∼300 students to improve public speaking skills by developing an online platform with gamified features, leveraging Linux, Apache, MySQL, and PHP for seamless database management, user tracking, and interactive exercises

• Developed a framework to improve accuracy in drug sensitivity predictions, by benchmarking support vector machine, graphical neural networks, and elastic net for ∼1000 cancer cell lines• Reduced training time by 84% by creating an automated ML pipeline for dimensionality reduction (Principle Component Analysis, Non-Negative Matrix Factorization, and Pearson Correlation) and hyperparameter tuning• Surpassed current benchmarking studies by 13%, using ML evaluation metrics such as F1 score, MSE, and accuracy

• Achieved 93% accuracy, 7% better than current benchmarking studies, by implementing a long short-term memory machine learning model to validate human activity recognition using ultra-wide bandwidth tags• Designed a force sensor feedback system using Python and C++ for patients with motor disabilities• Reduced patient assessment time by 90% by automating standardized clinical assessments using convolutional neural networks, logistic regression, and support vector machine• Created engaging therapy practices for ∼300 patients by developing rehabilitation games using Unity and C#

• Boosted client engagement by 25% by deploying an interactive Augmented Reality App, developing gamified features for an enhanced user experience• Leveraged ARKit and OpenCV for advanced image tracking, enabling interactive experiences around an artifact• Enhanced educational engagement and visitor participation by using Unity and C# to develop a suite of interactive activities within the app, including virtual quizzes, artifact animations, and science-themed mini-games

Minimized farmers’ costs by $300 million by creating an early drone detection system to reveal the presence of bacteria on crops• Programmed a lawnmower path in Python for the drone to fly over land, detect fluorescence on crops using OpenCV, and record GPS coordinates presented as a heat map for farmers to access

• Increased patient engagement by developing an Augmented Reality application on Unity using C# to gamify stroke rehabilitation with an alien game and caf ́e scenario• Improved build efficiency by 84% by creating bash scripts to automate app building for testing and deployment• Collaborated with ∼10 clinicians to discuss app functionality and determine design requirements based on clinicians’ needs

• Investigating an efficient Data Asset Management system that can store and tag media to be accessed by employees• Developing and visualizing different algorithms on a 20x20x20 LED cube (DotBox) using Pascal• Designing and implementing a mobile application for DotBox that allows users to connect and control the DotBox

• Created the Materials Engineering website using Microsoft SharePoint• Developed a Materials Request Form using PowerApps and Power Automate ensuring that our customer's material requests are tracked and evaluated by the Materials department• Arranged quality control documentation to ensure that weld parameters and project specifications were accurate and in code• Automated the Tool Request Form using Power Automate to ensure that over 100 tool requests would go through the correct process of approval

• Ensured that merchandise is offloaded from trucks, separated into different departments, and made available for purchase in the store• Stocked merchandise and ensured that all products were available for the customers• Communicated with customers to ensure their concerns and questions were addressed