I’m Arogya Upadhyaya.
I am a software and data engineer who enjoys turning complex information into something useful and understandable. I work at the intersection of engineering and analytics. I build APIs, automate pipelines, and create dashboards that help people make better decisions.
I’m currently finishing up my Computer Science degree at Westminster University, Salt Lake City with a minor in Applied Mathematics. I am also working as a Data Engineering Intern at Ken Garff Automotive Group, Salt Lake City, where I focus on data automation and explore AI tools like Snowflake Cortex. Outside of work, I’m currently involved in two research projects, one that uses computer vision to study brine fly populations and another one analyzing computer science education data. I also spend time on personal projects that let me experiment with new ideas and technologies.
This portfolio brings together my projects from researches to independent work. Each project represents something I’ve learned along the way. My long term goal is to grow into a thoughtful engineer. With the motive of making technology accessible to all, I want to become someone who not only builds efficient systems but also understands the people and purpose behind them.
- Automated event‑driven Domo dataset refreshes using the Domo API triggered by Snowflake ingestion in IICS, eliminating fixed schedules and cutting manual refresh actions significantly.
- Built scalable API pipelines for ManageEngine service desk data and Google Reviews, standardizing delivery to Snowflake for 65+ dealerships and retiring manual exports.
- Led R&D on Snowflake Cortex to ship production use cases including sentiment analysis of Google Reviews and a Confluence‑connected RAG assistant, improving knowledge access and analysis speed for business teams.
- Great Salt Lake Institute: Collected and annotated underwater images of brine fly pupae in Roboflow, trained and validated a YOLO detector, achieving about 95% confidence, enabling automated population monitoring workflows.
- CS4Utah.org: Built React dashboards and automated Python analytics, utilizing Pandas and Matplot, to visualize statewide high school CS enrollment, incorporating stakeholder feedback to improve accessibility.
- Designed and developed a modular Office Management System from the ground up, including HR, payroll, project, and membership management workflows, improving operational efficiency and expanding product capabilities.
- Migrated to PHP 8.1, optimized SQL queries, and reindexed databases, significantly improving stability and performance.
- Led the research and development of, Arduino C++ based, Vel-Calc, providing a cost-effective alternative to other expensive traffic velocity calculators in Nepal
- Co-founded the initiative and remotely tutored 100+ students the fundamentals of Web UI development in HTML and CSS, inspiring and motivating 100s of students towards programming
- Oversaw club meetings and administration while leading successful events like the Quick STEM Maze and Practical Engineering Activities' Session (PEAS), engaging over 120 participants, earning recognition for the positive impact