Geneva Ng
Software Engineer II at Instalily
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolGeneva Ng is a Forward Deployed Engineer III with 11 years of experience building full-stack systems that turn raw ERP, POS, and CRM data into actionable sales intelligence for non-technical field teams. Based in New York and trained at Columbia Engineering, she leads technical strategy and execution across concurrent engagements at InstaLILY AI, focusing on elegant, efficient, and scalable solutions. Her background spans back-end and DevOps work—she improved Elasticsearch integration and indexing for the popular glances monitoring tool—alongside front-end maintenance and curriculum-driven teaching roles. Geneva has a track record of automating manual analytics workflows and shipping production-ready tooling that bridges data engineering and user-facing decisioning. Pragmatic and curious, she blends hands-on coding with product-minded delivery to reduce friction for operators and surface high-impact insights. She’s equally comfortable mentoring learners in Python and iterating on low-latency data pipelines.
10 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Columbia Engineering
Stackoverflow
31reputation
2kreached
1answer
0questions
Github Skills (16)
amazon-elasticsearch10
monitoring10
elasticsearch10
elasticsearchquery10
aws-elasticsearch10
python10
elasticsearch-api10
datetimes9
datetime9
restful-api8
logging7
logstash6
macos6
kibana6
docker4
Programming languages (22)
Github contributions (5)
nicolargo/glances
Mar 2019 - Mar 2019
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:5 commits, 2 PRs, 3 comments in 1 day
Contributions summary:Geneva primarily focused on enhancing the integration of the application with Elasticsearch. They added date indexing, implemented dynamic templating for values, and cleaned up fields for improved data organization. Furthermore, the user refined the identification of data within Elasticsearch and addressed issues in the indexing process. These changes suggest an effort to optimize data storage and retrieval, likely for performance monitoring and analysis.
pythonhtopoperating-systemsgnumulti-platform
genevera/coreos-sshguard
May 2016 - Sep 2017
Contributions:9 commits, 2 PRs, 5 pushes in 1 year 4 months
sshsshguardcoreos
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