Summary
Tom Li is a Software Development Engineer with six years of experience building scalable, data-driven systems and ML platforms, currently working on Payments ML Data Platform at AWS in Vancouver. He blends cloud-native engineering (large-scale OLAP, ETL, MLOps, SDK/API development) with cutting-edge GenAI work—LLMs, RAG, and agent frameworks—to operationalize models for production payments and fraud use cases. Tom has a strong track record migrating critical services at scale, designing distributed migration tools at AWS, and building real-time asset and forecasting pipelines for energy customers using Iceberg, Step Functions, and AWS analytics. Outside of corporate work he contributes to open source projects focused on energy-efficient LLM inference—authoring a Kubernetes power-capped inference service using KEDA and eBPF-based power telemetry. He pairs a high academic standing in software engineering with hands-on startup and leadership experience, demonstrating an unusual mix of sustainable computing research and production-grade engineering.
6 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Sir Winston Churchill High school
Bachelor of Science - BS, Software Engineering, 3.85/4.00, Bachelor of Science - BS, Software Engineering, 3.85/4.00 at Schulich School of Engineering, University of Calgary
Chinese, English, Spanish, Chinese