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.
10 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 (88)
windows-app9
pipeline9
kubeflow-pipelines9
kubeflow9
livereload9
k8s9
autohotkey9
file-watcher9
machine-learning9
proteins9
artificial-intelligence9
kubernetes9
moonlight9
nvidia9
steam8
Programming languages (10)
Github contributions (5)
OpenProteinAI/openprotein-python
Aug 2024 - Jul 2026
Simple python interface for the OpenProtein.AI REST API.
Contributions:18 releases, 2 PRs, 30 pushes in 1 year 11 months
aipythonrestrest-apigenerative-ai
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
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