Terri Yu
Software Developer In Linguistics Speech at University of Massachusetts Amherst
Springfield, Massachusetts Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolTerri Yu is a software developer blending 13 years of engineering experience with rigorous academic training in physics, electrical engineering and computer science from MIT, Yale and UMass Amherst. She specializes in machine learning, statistics, and speech/linguistics engineering, having ported Matlab speech-processing toolchains to cross-platform Python (2.7/3.x) with tests and documentation. Terri has hands-on experience deploying deep learning for computer vision and text detection, applied unsupervised NLP methods for social-science research, and contributed backend storage and aggregation features to the widely used OpenStack Ceilometer project. Comfortable across R, Python, NumPy and Java, she pairs strong mathematical modeling and scientific computing skills with practical production-focused development gained in startups and research labs. An uncommon strength is her combination of high-performance numerical background and open-source cloud telemetry contributions, enabling reliable ML-driven tooling for speech and data-intensive applications.
13 years of coding experience
2 years of employment as a software developer
BS, Electrical Engineering, GPA 4.9/5.0 (3.9/4.0), BS, Electrical Engineering, GPA 4.9/5.0 (3.9/4.0) at Massachusetts Institute of TechnologyHigh school, GPA 4.0/4.0, High school, GPA 4.0/4.0 at Henry M. Gunn High School | Palo Alto, CAMaster of Science (MS), Physics, Master of Science (MS), Physics at Yale UniversityUniversity of Massachusetts Amherst
Github Skills (12)
storage10
filesystem10
openstack10
python10
testing10
databases9
database9
mongodb-database9
mongodb9
api8
apidoc8
sqlalchemy8
Programming languages (5)
Github contributions (5)
openstack/ceilometer
Apr 2013 - Sep 2013
OpenStack Telemetry (Ceilometer)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits in 5 months
Contributions summary:Terri primarily focused on enhancing the storage components of the OpenStack Ceilometer project. Their contributions involved adding a missing 'source' variable to the storage drivers across multiple database implementations (HBase, MongoDB, SQLAlchemy, and others), and ensuring samples are sorted in reverse chronological order, which included code changes and test updates. Furthermore, the user addressed bugs by correcting paths for test requirements and removing unused variables. The user also implemented group by statistics for the MongoDB driver.
telemetryopenstackopentelemetry
voicesauce/opensauce-python
Apr 2017 - Apr 2019
Voice analysis software (Python port of VoiceSauce)
Contributions:2 releases, 240 commits, 463 pushes in 2 years
connectivitypythonvoice-analysisspeech-recognitiongmm
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