Kevin Ram

About

Currently, I'm an undergraduate at Cornell University! I'm passionate about implementing interdisciplinarity through computer science to support others, and transforming what was once considered impossible: possible! However, I'm knowledgeable across an extremely broad range of fields/subjects from my intellectual curiosity. I'm always actively seeking to develop new skills and improve myself, regardless of difficulty and risk-taking. Fun Fact: I was flown out to Orlando, Florida by Disney to compete in eSports Nationals for Super Smash Bros. Ultimate!

Experience

• Software Engineering Intern · Asana05-01-2024

  • Time Tracking ("Actual Time") - Used TypeScript to design and implement an improved custom field, ‘Actual Time,’ allowing users to accurately log/edit time spent on tasks (previously or live). • ID (Custom Fields) Filter Menu - Used TypeScript and Scala (LunaDB) to create a custom field type filter menu, enhancing search functionality.

• Software Engineering Intern · Altum Labs05-01-2023 – 08-01-2023

  • Used Django, React, and Supabase to develop/maintain our web-apps, increasing productivity by approx. 400% among consumers, laboratories, and regulators regarding transactions of non-FDA-regulated products; raising approx. $250,000. • Plantalysis - Utilized machine learning algorithms (in Python) to perform in-depth molecular analysis of product ingredients, providing accurate (approx. 96%) and reliable safety information; optimized product routes for delivery efficiency

• Software Engineering Intern · Polygon Health05-01-2023 – 08-01-2023

  • Used Dart/Flutter to develop a mobile and web-based app, utilizing AWS to architect scalable and secure cloud-based solutions, optimizing application performance. (increasing by approx. 25%) • Utilized Python to develop a generative AI system, enabling users to engage in conversations via an e-mail feature, receiving accurate information regarding their personal health and/or medication. (user-reported accuracy of approx. 90%)

• Data/Sales Development Intern · Notre Dame Accelerator01-01-2023 – 06-01-2023

  • Used data visualization to collaborate on our dual-website between 150+ industry-leading agricultural and hospitality corporations and migrants/refugees; increased our outreach by approx. 450% by developing and using automated e-mail scripts.

• Undergraduate Researcher · Cornell Law School02-01-2023

  • Use machine learning and natural language processing to develop systems that allow users from outside the legal profession to more easily access and understand the laws that govern them through the Legal Information Institute.

Education

• Cornell UniversityBachelor's Degree, Computer Science, Business

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