Christopher Siewert
Software Developer In Machine Learning at Global Relay
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolChristopher Siewert is a software developer specializing in machine learning and DevOps with nine years of experience building production-ready systems and CI/CD pipelines. He combines a finance background and a self-taught coding origin in crypto trading—where he built an automated trading system that returned 86% in one year—with formal graduate study in software engineering at Oxford. At Global Relay he shipped an end-to-end autoML product as a technical product manager and currently focuses on ML-enabled services while owning monitoring, performance optimization, and deployment automation. He is proficient across Python, Java, C++, Docker/Kubernetes, Prometheus/Grafana and has improved microservice latency by 30% through framework and server tuning. An active contributor to pmdarima, he added a LogEndogTransformer to strengthen Python time-series tooling—bringing statistical rigor to production ML. Based in Vancouver, he blends pragmatic product sense with ruthless automation to convert vague business needs into measurable, reliable systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Commerce, Bachelor of Commerce at Shri Ram College of CommerceMaster of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at University of OxfordBachelor of Commerce, Bachelor of Commerce at Thompson Rivers UniversityBachelor of Commerce, Finance, General, Bachelor of Commerce, Finance, General at The University of British ColumbiaBachelor of Commerce, Bachelor of Commerce at WU (Vienna University of Economics and Business)Certificate, Blockchain Development, Certificate, Blockchain Development at 7 Gate Academy
Stackoverflow
21reputation
717reached
1answer
2questions
Github Skills (13)
forecasting10
machine-learning10
time-series10
forecast10
python10
data-analysis10
documentation9
testing8
docker6
php6
docker-compose6
environment-variables6
symfony6
Programming languages (5)
Github contributions (5)
alkaline-ml/pmdarima
Nov 2019 - Nov 2019
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Role in this project:
Data Scientist
Data ScientistContributions:14 commits, 2 PRs, 7 comments in 13 days
Contributions summary:Christopher's contributions primarily involved enhancing the `pmdarima` library, a Python time series analysis tool. They introduced a `LogEndogTransformer` class, mirroring the functionality of the `BoxCoxEndogTransformer`, and implemented tests to validate its behavior. Furthermore, the user integrated the new transformer into the documentation and updated the what's new section of the documentation. The user also addressed existing documentation issues.
forecastingfillpythontime-series-analysisvoid
christopher-siewert/deribit-arbitrage-monitor
Jun 2019 - Jul 2020
This program tracks the Deribit bitcoin derivatives exchange, looking for arbitrage profits
Contributions:14 commits, 3 PRs, 12 pushes in 1 year
deribitexchangeprofitscryptocurrencybitcoin
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