Sophie Chang
Team Lead, Machine Learning at Elastic
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSophie Chang is a seasoned machine learning leader with 12 years of experience guiding the integration of anomaly detection and behavioral analytics into production search and observability products. Currently Team Lead, Machine Learning at Elastic, she has shepherded ML capabilities since Elastic’s acquisition of Prelert, where she served as VP Engineering driving unsupervised anomaly-detection technology for non-data-scientists. Her background spans hands-on engineering and executive roles—from CTO and Head of Software at 1E to technical director and data-warehousing lead—giving her deep expertise in production systems, data pipelines, and product-focused ML. Based in London and trained in physics at Imperial College, she combines rigorous analytical thinking with a track record of turning research-grade algorithms into scalable, user-friendly features. A pragmatic leader, she excels at bridging research, engineering and product to deliver real-time insights at scale.
12 years of coding experience
20 years of employment as a software developer
Bachelor of Science (BSc), Physics, Bachelor of Science (BSc), Physics at Imperial College London
Github Skills (60)
search-engine10
opensearch10
observability10
get-started10
transport10
kibana10
java10
restful10
logstash10
elasticsearch10
logging10
elastic10
visualizations10
jruby10
streaming10
Programming languages (10)
Github contributions (5)
prelert/engine-python
May 2014 - Sep 2014
Contributions:9 commits in 3 months
pythonkibanalogstashbehavioralaws
sophiec20/kibana
Jan 2019 - Feb 2019
:bar_chart: Kibana analytics and search dashboard for Elasticsearch
Contributions:8 pushes, 2 branches in 10 days
analyticschartbar-chartkibanaopensearch
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