Undergraduate Research Assistant

• Aug 2023 - Present

• Collaborate with Professor Amy Fountain to utilize Natural Language Processing and Image/Character recognition for the preservation of the Coeur d’Alene tribe’s language• Develop a comprehensive database from historical texts, empowering tribe members to access and rejuvenate their linguistic heritage

Undergraduate Teaching Assistant

• Aug 2021 - Present

• Lead Office Hours and deliver supplemental lectures on Python for individuals or groups of 40+ students • Assess and suggest feedback on weekly programming assignments and provide mentorship to students • Create Data-Structures and Algorithms based problems in Python for Exams and Study Guides

Undergraduate Research Assistant

• Aug 2022 - Aug 2023

• Design and implement an advanced Data Storage Model and Framework for a university's academic data, optimizing retrieval speeds and replacing an outdated system.• Develop a comprehensive Database Schema for the modernized Data Storage Model, ensuring compatibility with all existing use cases while enabling future extensions for enhanced functionality and long-term scalability

Undergraduate Research Assistant

• Sep 2021 - Nov 2021

• Contributed to an NSF-funded project by collaborating with students and professionals to develop a curriculum and build a robot designed to assist teachers in delivering the curriculum in a school setting• Utilized Xcode, NodeJS, and ChalkTalk to modify the robot, enabling an interactive learning experience for both teachers and students by combining real-world and augmented reality interactions

Research Fellow

• Jun 2023 - Present

• Led a comprehensive research initiative on Sparse Machine Learning, analyzing existing ML benchmarks, and formulating a robust list of datasets and tests for benchmark development under the supervision of Professor Fredrick Kjolstad. • Acquired expertise in advanced ML architectures including Graphical Neural Networks, Convolutional Neural Networks, and Transformers; honed leadership and teamwork skills, with plans to continue research collaborations with Stanford faculty. • Led a comprehensive research initiative on Sparse Machine Learning, analyzing existing ML benchmarks, and formulating a robust list of datasets and tests for benchmark development under the supervision of Professor Fredrick Kjolstad. • Acquired expertise in advanced ML architectures including Graphical Neural Networks, Convolutional Neural Networks, and Transformers; honed leadership and teamwork skills, with plans to continue research collaborations with Stanford faculty.

Mentorship Fellow

• Jun 2023 - Present

Mentorship Fellow

• Feb 2023 - May 2023

Front-end Development Intern

• May 2021 - Aug 2021

• Enhanced the user interface and experience of the Ravdeus website through iterative feedback-based design changes, resulting in a 20% increase in user engagement and satisfaction • Designed and developed the UI interface for a FinTech Application aimed at assisting users in saving money and effectively managing their daily finances. • Enhanced the user interface and experience of the Ravdeus website through iterative feedback-based design changes, resulting in a 20% increase in user engagement and satisfaction • Designed and developed the UI interface for a FinTech Application aimed at assisting users in saving money and effectively managing their daily finances.

Undergraduate Research Assistant

• Jan 2021 - May 2021

• Conducted comprehensive research utilizing Linux, NumPy, Matplotlib, and Jupyter Notebook to evaluate the compatibility of B2 and Mage Data Visualization Libraries with Hatchet - a library for computing the efficiency of Supercomputing programs • Presented valuable findings to Hatchet's engineering team, enabling them to make informed updates to their development processes • Conducted comprehensive research utilizing Linux, NumPy, Matplotlib, and Jupyter Notebook to evaluate the compatibility of B2 and Mage Data Visualization Libraries with Hatchet - a library for computing the efficiency of Supercomputing programs • Presented valuable findings to Hatchet's engineering team, enabling them to make informed updates to their development processes