The Journey So Far

I'm a builder at heart. Whether it's crafting elegant interfaces, architecting scalable systems, or experimenting with new ideas, I'm driven by curiosity and the desire to create things that make a difference. Like a penguin navigating icy waters, I thrive in challenging environments and always find my way forward.

September 2025 - Current

Software Engineer Intern @ Shopify

Bellevue, WA

Engineered key components of the Bulk Operations API platform across distributed systems, including data integrity fixes preventing 8,000+ daily object losses, advanced telemetry, and concurrent processing to optimize GraphQL API throughput for enterprise-scale ingestion, while developing a TypeScript-based CLI for this Bulk Operations platform.

June 2025 - August 2025

Software Engineering Intern @ Cboe Global Markets

Overland Park, KS

Built and deployed an automated alert triage system that integrated external APIs with SQL-extracted data across 25 environments, deduplicating and organizing alerts from 200,000+ data pipeline jobs tied to the Cboe stock exchange.

September 2024 - June 2025

Research Assistant @ Midwest Uncertainty Collective

Evanston, IL

Built and optimized an LLM-driven full-stack application using Flask, React, MySQL that generates test questions paired with dynamic data visualizations, integrating OpenAI APIs to enhance educational content creation.

June 2024 - September 2024

Software Intern @ Baxter

Deerfield, IL

Developed AI-driven tool using LLM technologies to extract insights from over 2,000+ internal medical papers, helping non-medical employees understand the application and benefits of the company’s medical devices.

March 2024 - June 2024

Backend Development Intern @ SLYD

Chicago, IL

Created a .NET Blazor application utilizing Entity Framework for seamless integration with a PostgreSQL database, ensuring robust management of server hardware data using pgAdmin 4 for database administration.

January 2024 - June 2024

Research Assistant @ Computational Journalism Lab at Northwestern

Evanston, IL

Developed a context-aware LLM-based NLP platform that identifies and simplifies scientific jargon based on user context, leveraging prompt engineering and contextual embeddings to make scientific articles easier for journalists to understand.

September 2022 - June 2026

Northwestern University

Evanston, IL

Bachelor's in Computer Science, Minor in Data Science

"The best way to predict the future is to build it. And maybe add a penguin or two along the way."