James Tang
Machine Learning Engineer
Summary
🤩
RockstarJames Tang is a seasoned technology leader and Fellow based in the San Francisco Bay Area with a multi-decade career building internet-scale, secure distributed systems, big data platforms, and AI-driven decision services. He has led engineering organizations at Walmart Global Tech—spanning data science, fraud prevention, identity, payments and post-purchase systems—and now drives automation and operational efficiency at GEICO. Skilled at translating business value into technical strategy, he blends hands-on architecture, multi-cloud engineering, and people leadership to deliver resilient microservices and predictive analytics at scale. His background includes early platform and monetization work for gaming and large-scale product metadata systems, reflecting a rare mix of systems, data, and product experience. Trained as a precision mechanical engineer with robotics control experience, he brings a methodical, systems-thinking approach to applied AI and cloud-native architectures.
5 years of coding experience
Github Skills (32)
kubernetes10
fastapi10
docker10
neural-search10
machine-learning10
hpa10
multimodal10
generative10
prometheus10
screeps10
deep-learning10
llmops10
generative-ai10
pipeline10
jaeger10
Programming languages (1)
Github contributions (3)
jina-ai/examples
Aug 2020 - Sep 2020
Jina examples and demos to help you get started
Contributions:8 reviews, 4 commits, 6 PRs in 1 month
nlppythononboardingget-starteddeep-learning
jina-ai/jina-hub
Aug 2020 - Sep 2020
An open-registry for hosting Jina executors via container images
Contributions:2 reviews, 12 PRs, 31 pushes in 26 days
containershostingoci-imagejinadocker
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