Jensen Hwa
AI Developer Technology Engineer at NVIDIA
Shanghai, United States
Summary
🤩
Rockstar🎓
Top SchoolJensen Hwa is an AI Developer Technology Engineer at NVIDIA with seven years of experience building high-performance algorithms and infrastructure for recommender systems and deep learning. He combines cloud-native and AI infra expertise with hands-on backend and DevOps experience, notably contributing to the well-known alibaba/higress AI-native API gateway to add model integrations, canary deployments, and robust token failover. Jensen's background includes internships at Amazon and Moloco working on large-scale search and recommendation pipelines, and graduate work at Stanford focused on parallel computing. Based in Shanghai with summa cum laude roots from University of Michigan and an MS from Stanford, he bridges academic rigor and production engineering. He’s equally comfortable optimizing GPU workloads as he is designing resilient API layers for AI services—often surfacing practical reliability fixes that aren’t obvious from model code alone.
7 years of coding experience
1 year of employment as a software developer
BSE, Computer Science, minors in Mathematics and Economics (summa cum laude), BSE, Computer Science, minors in Mathematics and Economics (summa cum laude) at University of MichiganMS, Computer Science - AI, MS, Computer Science - AI at Stanford University
chinese (shanghainese, mandarin), Spanish, English
Github Skills (14)
env10
kubernetes10
blazor-webassembly10
assembly10
go10
webassembly10
envoyproxy10
api-gateway10
convoy10
kubernetes-pods10
apidoc9
api9
cloud-native8
cicd7
Programming languages (19)
Github contributions (5)
alibaba/higress
Nov 2023 - Mar 2025
🤖 AI Gateway | AI Native API Gateway
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:110 reviews, 23 PRs, 1 push in 1 year 4 months
Contributions summary:Jensen contributed to the `alibaba/higress` repository by implementing features related to canary deployment using HTTPRoute annotations and custom response plugins within the Go-based WASM environment. They also added support for the Groq AI model and Claude AI model, indicating a focus on API gateway integrations with AI services. Further work included implementing an API token failover mechanism and refactoring to support retry requests and handling of HTTP status codes.
golangnext-generationetcdkong-pluginingress-controller
cr7258/higress
Nov 2023 - Mar 2025
Next-generation Cloud Native Gateway | 下一代云原生网关
Contributions:183 pushes, 24 branches, 35 tags in 1 year 3 months
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