Capital One
Software Engineer Intern
Incoming Software Engineer Intern for Summer 2026, where I'll be learning how large-scale production systems are built, tested, and operated in a real engineering environment.
Software Engineer | MCS-DS @ UIUC | ML + Data Engineering
I'm a software engineer and
University of Illinois Urbana-Champaign
MCS-DS student focused on machine learning, data engineering,
and production-ready software. I like building clean systems,
reliable workflows, and tools that solve real problems.
Here's a bit more
and how I work.
Experience
A mix of incoming internship work, production engineering, and client-facing development that shows both technical depth and real-world execution.
Software Engineer Intern
Incoming Software Engineer Intern for Summer 2026, where I'll be learning how large-scale production systems are built, tested, and operated in a real engineering environment.
Freelance Developer
Built and shipped client work for small businesses, with hands-on ownership across frontend improvements, performance tuning, accessibility fixes, and production-ready updates.
Software Engineer Intern
Built product features across mobile and backend systems, including a React Native ordering app and a MySQL-to-Firebase migration that supported more scalable, real-time product behavior.
Selected Work
A mix of machine learning, automation, data-oriented software, and selected production projects with a bias for clean execution and measurable outcomes.
Python, TensorFlow, Keras
As part of my senior project, I collaborated with a multidisciplinary team to develop and evaluate machine learning models for medical image segmentation. Working with hospital bone datasets, we fine-tuned advanced models and achieved a Dice score of 0.87.
Python, BeautifulSoup, Selenium
Developed a scraper that navigates TikTok pages, parses relevant HTML, and collects video links for download workflows. The project sharpened my skills in browser automation and resilient scraping.
Python, BeautifulSoup
Built a Python scraper that pulls job data from TimesJobs and formats listings into a cleaner, easier-to-read output. It focused on HTML parsing fundamentals and practical automation.