Mark Gee
Lead Architect at NE47 Bio
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolMark Gee is a Lead Architect and ML engineer with 10 years’ experience designing low-latency, production-grade intelligent systems and scaling ML platforms from single-user proofs to hundreds of users. He combines deep academic grounding in computer vision with hands-on expertise in Kubernetes, AWS, and async Python to cut ML operational costs (60%), triple LLM inference throughput, and enable >10x faster build-to-deploy cycles. His work spans building event-driven distributed compute that handles millions of daily LLM requests, high-throughput real-time vision pipelines (900+ FPS), and integrated MLOps that support hundreds of daily deployments. Based in Singapore and trained at Stanford and Imperial College, he’s equally comfortable optimizing hardware utilization and rethinking software architecture, and he thrives on cross-disciplinary collaboration that turns research ideas into resilient production services.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering, Electrical and Electronic Engineering, First Class Honours, Bachelor of Engineering, Electrical and Electronic Engineering, First Class Honours at Imperial College LondonMaster of Science - MS, Electrical and Electronics Engineering, 4.107, Master of Science - MS, Electrical and Electronics Engineering, 4.107 at Stanford University
English, Chinese
Github Skills (123)
sklearn10
pipeline10
kubeflow-pipelines10
nvidia10
autohotkey10
windows-app9
steam9
spin9
xgboost9
standardized9
kubeflow9
kedro9
reload9
k8s9
tekton9
Programming languages (9)
Github contributions (5)
markgeejw/covid-app
Mar 2020 - Apr 2020
COVID-19 Webapp Modelling Measures in Australia
Contributions:63 commits, 20 pushes, 2 branches in 24 days
modellingwebappmeasures
markgeejw/yogi
Feb 2018 - Jul 2018
Contributions:315 pushes, 1 branch in 4 months
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