Hello! 👋
I'm Lily Shiomitsu
Recent Computer Science Graduate @ Northeastern | DevOps Software Engineer @ Wolters Kluwer
About Me
I graduated from Northeastern University in April 2026 with a Bachelor of Science in Computer Science with a concentration in Artificial Intelligence and a minor in Spanish. Throughout my academic and professional journey, I gained valuable experience through various roles at Wolters Kluwer, UKG, and Coverys, where I developed a strong foundation in DevOps, full-stack development, and frontend engineering. I am passionate about building solutions that combine technical rigor with practical impact, and I enjoy collaborating with others to solve complex problems while continuously learning and growing as an engineer. I am excited to be returning to Wolters Kluwer full-time as a DevOps Software Engineer, where I look forward to contributing to meaningful projects and continuing to expand my technical expertise. Outside of work, I enjoy playing the piano and cello, traveling, and spending time walking my dogs.
Education
Bachelor of Science in Computer Science
Northeastern University
- GPA: 3.93/4.0
- University Honors Program, Dean's List all semesters, Amelia Peabody Honors Scholarship
- Concentration in Artificial Intelligence, minor in Spanish
- Relevant Coursework: Artificial Intelligence, Network Fundamentals, Algorithms and Data, Machine Learning and Data Mining 1, Fundamentals of Software Engineering, Computer Systems, Object-Oriented Design
- Dialogue of Civilizations: Spanish Language and Argentinean Culture in Buenos Aires, Argentina 🇦🇷 (Summer 2023)
- Dialogue of Civilizations: Software Development and Innovation in Sydney, Australia 🇦🇺 (Summer 2025)
Experience
DevOps Software Engineer Co-op
Wolters Kluwer
- 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
- 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
- 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
- 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
- Spring 2026: CS 3000 (Algorithms and Data)
- 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
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.
Travel
