Stella L
Full Stack Software Engineer At Analog Garage at Analog Devices
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolStella L is a Full Stack Software Engineer with 11 years of experience, currently building Edge-to-Cloud tooling and reusable data processing components at Analog Garage (Analog Devices). She blends front-end accessibility expertise and cloud deployment automation to help research scientists discover and scale new technologies, drawing on a strong academic background (MS CS, BS ECE) and proven lab-grade tooling experience. Her graduate research in human-computer interaction produced a novel approach to passive pedestrian-walkway accessibility data collection and informed practical features in an accessibility-focused campus navigation app. Stella has a track record of improving operational efficiency—she built project and people management tools that boosted lab engagement from 67% to 95%—and enjoys turning research prototypes into production-ready systems. Comfortable mentoring and teaching, she has supported web development courses and co-organized large accessible events, bringing accessibility and inclusion into both code and community. Based in Greater Boston, she combines rigorous engineering discipline with empathy-driven design to deliver performant, accessible software for real-world users.
11 years of coding experience
3 years of employment as a software developer
University of California, IrvineHigh School Diploma, High School Diploma at Seattle Central CollegeBachelor of Science - BS, Electrical and Computer Engineering, Major GPA: 3.89/4.0 Cumulative GPA: 3.82/4.0, Bachelor of Science - BS, Electrical and Computer Engineering, Major GPA: 3.89/4.0 Cumulative GPA: 3.82/4.0 at University of Washington College of Engineering
Chinese, Chinese, English, Spanish, German
Github Skills (5)
throughput10
matlab10
segmentation10
imaging10
microscopy10
Programming languages (1)
Github contributions (5)
wiggins-lab/SuperSegger
Feb 2016 - Apr 2018
A completely automated MATLAB-based trainable image cell segmentation, fluorescence quantification and analysis suite, particularly well suited for high-throughput time lapse fluorescence microscopy of in vivo bacterial cells.
Contributions:3 releases, 369 commits, 101 pushes in 2 years 2 months
time-lapsefluorescencematlabvivoimaging
asterakin/fmri
Nov 2015 - Dec 2015
Contributions:33 pushes, 1 branch in 1 month
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