• Development of 2D and 3D data visualization functionality for large-scale spatial biotelemetry data.• Containerized application with Docker for widespread deployment and reduced build time and storage cost.• Implemented key data visualization functionality for the open-source MKDE R package with 700+ users • Collaborating with a team of developers from SDSC for a project funded by the National Science Foundation.• Utilized R, Python, RStudio, Jupyter Notebook, GitHub, and data science libraries in both R and Python.

• Developed an end-to-end AI solution utilizing 15+ Azure resources to reduce downtime for industrial customers through a large-scale data pipeline processing 250+ data sources and a large language model.• Developed a deep learning model intended to help detect process quality control issues 10 minutes early.• Collaborated on an internal project for CEO and CTO with Django and SQL for backend API development.• Worked with a Kanban software team and met with diverse teams from Google, Microsoft and Databricks.• Leveraged Azure Functions, Azure OpenAI, MS SQL Server, MongoDB, Docker, Python, C#, .NET, and Github.

• Handling two upper division classes CSE 355: Intro to Theoretical Computer Science and CSE 340: Principles of Programming Languages with 200+ students, holding office hours and exam reviews.• Gained proficiency in C++, Data Structures, and using Linux, and proficiency in CS theory and formal proofs.