Fall 2024: Object-Oriented Programming and Data Structures (Java) - Lead weekly workshop sessions for 20 students, providing support and reviewing Object-Oriented Programming and data structure concepts.- Collaborate with a co-facilitator to implement evidence-based teaching strategies and interactive group activities, optimizing learning objectives and enhancing student retention.- Develop and prepare workshop content, including PowerPoints, problem sets, solutions, and collaborative learning activities.

- Develop full-stack features for CornellGo, a gamified scavenger hunt app that makes campus exploration engaging and fun.- Utilize React, TypeScript, Flutter, NestJS, Prisma, and PostgreSQL to build user interfaces and scalable application architecture.- Participate in code reviews, collaborate in weekly work sessions, and present progress during standup meetings.

- Develop and deliver semesterly data-driven projects and solutions within a cross-functional team of data engineers, machine learning engineers, data scientists, and quantitative finance engineers.- Build machine learning pipelines using technologies such as Python, OpenCV, TensorFlow, PyTorch, NumPy, AWS SageMaker/S3, and Hugging Face Transformers.- Research machine learning theory and participate in Kaggle competitions to continuously learn and apply data science concepts across diverse mediums.

- Developed and coordinated a proof of concept for Shell Energy's consumer mobile app, designed to engage tens of thousands of B2C residential customers directly.- Built React Native user interface pages, integrating live API data from backend services and implementing OAuth authentication with a NestJS/SQL Server backend.- Produced 40 requirements, 25 Figma UI frames, and 6 architecture decision records, while managing project planning in Azure DevOps to enhance access to key features like payment processing and service management.