Calvin De Lima
Staff Machine Learning Engineer at Shopify
Ontario, Canada
Summary
👤
Senior🎓
Top SchoolCalvin De Lima is a Staff Machine Learning Engineer with 13 years of experience building production-grade analytics and ML systems, currently leading forecasting and distributed model training work at Shopify. He combines deep software engineering roots with over five years focused on data infrastructure, statistical modeling, and ML to deliver end-to-end solutions that directly inform multi-million dollar marketing and growth decisions. Notable outcomes include a 20% lift in LTV forecast accuracy and an automated forecasting system that cut development time by 88%, plus distributed training infrastructure for generative sequence embeddings. Calvin excels at turning ambiguous domain problems into operational data products—designing measurement strategies, real-time detection systems, and quantile-based anomaly frameworks adopted cross-organization. He pairs technical delivery with stakeholder partnership across Finance, Marketing, and Product, and has a track record of scaling tools that both improve decision quality and rebuild data platforms. Based in Ontario, Canada, he uniquely blends hands-on engineering (from high-throughput document systems to cloud ML pipelines) with a pragmatic focus on driving business value.
13 years of coding experience
14 years of employment as a software developer
Specialized Diploma Computer Science, Specialized Diploma Computer Science at Fanshawe CollegeBachelor of Science - BS Sociology, Bachelor of Science - BS Sociology at King's College London
Github Skills (38)
sdk10
kibana9
artificial-intelligence9
llm9
visualizations9
ai9
openai9
elastic9
elasticsearch9
redis-database8
chrome8
chrome-extension8
observability8
django6
backend5
Programming languages (5)
Github contributions (5)
calvdee/london-ontario-rain-event-model
May 2019 - May 2019
Analysis and model for rain events in London, Canada.
Contributions:55 commits, 1 branch in 11 days
eventsrain
calvdee/end-to-end-lead-scoring
Dec 2018 - Feb 2019
Contributions:18 commits, 6 pushes, 4 branches in 1 month
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