Hello! 👋

I'm Lily Shiomitsu

Fourth-year Computer Science Student at Northeastern University

About Me

I'm a fourth-year student studying Computer Science with a concentration in Artificial Intelligence and a minor in Spanish at Northeastern University. I have previously worked at Wolters Kluwer, UKG, and Coverys. These opportunities have allowed me to develop a strong foundation in DevOps, full-stack development, and frontend engineering. I'm passionate about building solutions that combine technical rigor with practical impact, and I thrive in collaborative environments where I can both contribute and continue learning. In my free time, I enjoy playing the piano and cello, traveling, and walking my dogs. I am currently seeking full-time opportunities for the summer of 2026, and I am excited for what lies ahead!

Java Python Groovy C++ QML JavaScript TypeScript HTML/CSS SQL

Education

Bachelor of Science in Computer Science

Northeastern University

Sep 2022 - May 2026Boston, MA
  • GPA: 3.92/4.0
  • University Honors Program, Dean's List all semesters
  • Concentration in Artificial Intelligence, minor in Spanish
  • Relevant Coursework: Algorithms and Data, Machine Learning and Data Mining 1, Fundamentals of Software Engineering, Computer Systems, Object-Oriented Design
  • Dialogue of Civilizations: Software Development and Innovation in Sydney, Australia 🇦🇺 (Summer 2025)

Experience

DevOps Software Engineer Co-op

Wolters Kluwer

Jan 2025 - Jun 2025Waltham, MA (Remote)
  • Automated PR merge checks and Helm/YAML validation with real-time PR feedback, cutting configuration errors
  • Parallelized smoke tests and automated service refreshes across deployments, reducing release time by 30 minutes, saving hundreds of developer hours annually
  • Implemented zero-downtime deployments for test and mirror environments, saving 100-200 hours per 10 team members annually
  • Refactored Jenkins pipelines and seed jobs with new parameters and JDK upgrades, reducing build and seed times

Software Engineering Intern

UKG

May 2024 - Aug 2024Lowell, MA
  • Developed and optimized backend features in Java for UKG's Pro WFM platform, improving reliability and reducing customer-reported defects
  • Resolved customer defects by debugging production applications with Kubernetes hot-swapping
  • Conducted pseudo-locale testing to validate international readiness, identifying and resolving issues pre-release

AI Developer

Dropbox / Break Through Tech AI @ MIT

Aug 2024 - Dec 2024Cambridge, MA
  • Earned a Machine Learning Certificate from Cornell University through the Break Through Tech AI program at MIT
  • Designed and implemented parsing algorithms to identify and organize travel itinerary from unstructured email data
  • Developed an NLP entity extraction model with OpenAI's API and implemented a Streamlit data pipeline
  • Delivered prototype results to inform product teams exploring AI-assisted content parsing and summarization

Information Technology Co-op

Coverys

Jan 2024 - May 2024Boston, MA
  • Created engaging articles, videos, and courses for software updates using SharePoint, Camtasia, Snagit, and Audiate
  • Facilitated seamless onboarding sessions for new hires, delivering hands-on instructions to key applications
  • Collaborated with a team to redesign the main SharePoint site, enhancing user experience and simplifying navigation

Teaching Assistant

Northeastern University

Sep 2023 - PresentBoston, MA
  • Fall 2025: DS 4400 (Machine Learning and Data Mining 1)
  • Fall 2024: CS 3000 (Algorithms and Data)
  • Fall 2023: CS 1800 (Discrete Structures)
  • Implement automated grading scripts with Otter autograder, streamlining the evaluation process for 200+ submissions weekly, reducing manual grading time by 50%
  • Hold office hours and review sessions to assist students with coursework and exam preparation, improving overall class performance
  • Collaborate with faculty to improve assignment clarity and ensure consistent grading rubrics across large classes

Projects

01

Speech-to-Text Web Application

A web application that compares transcripts from multiple speech-to-text providers against an original script, providing accuracy, latency, and word-error-rate metrics to help evaluate and select the most reliable speech-to-text system, with options to upload files, record directly, and download results. Developed in collaboration with the University of Sydney to support healthcare workers in dementia care. Code available upon request.

PythonFastAPIAmazon TranscribeDeepgramOpenAIGoogle CloudAssemblyAIGitHub

Travel

Sydney Opera House
Sydney, Australia
Chinese Garden of Friendship
Sydney, Australia
Seoul, South Korea
Seoul, South Korea
Parque Nacional Los Glaciares
El Calafate, Argentina
Shoal Bay
Shoal Bay, Australia
Obelisco Buenos Aires
Buenos Aires, Argentina
Horseshoe Bend
Horseshoe Bend, AZ
Northeastern University
Boston, MA
Vancouver
Vancouver, BC, Canada