Alyssa Quek
Data Engineering Lead
Austin, Texas Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAlyssa Quek is a Data Engineering Lead with 12 years of experience building large-scale, production data pipelines and full-stack systems, currently collecting and analyzing massive CDN, DNS and GSLB logs at Apple. She blends hands-on engineering in Golang, Python and Javascript with cloud-native tooling—Kafka, Kubernetes and ClickHouse—to deliver performance and financial analytics, anomaly detection, and interactive visualizations. Her background spans computer vision and applied ML (including a production image-processing pipeline that improved defect detection by 30%) through to building customer-facing web apps and APIs for startups. An engineer who optimizes for both code clarity and speed, she has a knack for refactoring core algorithms—evident in her numpy-driven optimizations for a face-morphing project—and for turning messy streaming data into actionable dashboards. Based in the Austin metro area, she pairs research-minded problem solving with experience operating at Apple scale.
12 years of coding experience
13 years of employment as a software developer
The University of Sydney
Stackoverflow
114reputation
26kreached
3answers
0questions
Github Skills (13)
bilinear-interpolation10
python10
numpy10
computer-vision9
opencv8
scipy8
nodejs6
javascript6
math6
nunjucks6
gruntjs6
image-processing6
image6
Programming languages (9)
Github contributions (5)
alyssaq/face_morpher
Mar 2015 - Jun 2019
:angel: Morph faces with Python, Numpy, Scipy
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 releases, 198 commits, 11 PRs in 4 years 4 months
Contributions summary:Alyssa focused on refactoring and optimizing the code, starting with addressing dependencies, and then moving on to refactoring and documenting the existing codebase with comments. A significant portion of the user's work involved optimizing the core functionality, specifically implementing numpy array operations for bilinear interpolation. The changes included refactoring to use numpy arrays, as well as simplifying and refactoring the codebase for performance improvements.
pythonnumpypython-numpyscipymorph
alyssaq/hawkersg
Aug 2013 - Nov 2014
Contributions:30 commits in 1 year 3 months
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