Yu Wang - Full Stack Engineer at SparkTech

Yu Wang

Full Stack Engineer at SparkTech

San Jose, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Yu Wang is a versatile full stack engineer with 10 years of experience building high-performance web and backend systems across startups and tech giants, now based in San Jose. He has driven end-to-end projects—from WeChat Mini Programs and cross-platform social apps to low-latency e-commerce APIs at Amazon—combining React/Node.js frontends with Spring Boot, SQL, Redis, and Kubernetes-backed microservices. At Amazon he delivered significant performance wins (near 10x latency improvement and multi-fold throughput gains) by refactoring legacy services, optimizing SQL/HiveQL, and tuning Kafka and Redis integrations. A multilingual coder comfortable in JavaScript, Java, C++, Python, Kotlin and more, he also contributes to NLP tooling work such as extending the popular mt-dnn repo to support GLUE and SQuAD preprocessing and regression tests. Trained at Carnegie Mellon and Ohio State, he pairs strong academic grounding with practical deployment experience across AWS, IBM Cloud, and Linux environments. Colleagues describe him as self-motivated and results-driven, with a keen appetite for exploring cutting-edge technologies and squeezing extra performance from production systems.

10 years of coding experience

2 years of employment as a software developer

Bachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at Harbin Institute of Technology

Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon University

Bachelor of Science - BS Computer Science Engineering, Bachelor of Science - BS Computer Science Engineering at The Ohio State University

Github Skills (16)

data-preprocessing10

pytorch10

python10

bert10

scripting9

shell9

script9

sh9

deep-learning8

nlp8

machine-learning8

data-engineering8

natural-language-processing8

data-structure7

data-structures7

Programming languages (8)

TypeScriptC#OpenEdge ABLC++JavaScriptVim scriptPythonDart

Github contributions (5)

namisan/mt-dnn

Jun 2019 - Dec 2020

Multi-Task Deep Neural Networks for Natural Language Understanding

Role in this project:

Back-end Developer

Contributions:4 reviews, 77 commits, 17 PRs in 1 year 5 months

Contributions summary:Yu primarily focused on modifying and updating existing code, including fixing deployment issues, writing a GLUE preprocessing shell script, and removing an outdated preprocessing script along with associated code. Their work also involved converting GLUE data to a canonical format and incorporating the SQuAD dataset. Furthermore, they integrated a regression test and modified prepro_std.py to support SQuAD.

natural-language-understandingbertdialogue-systemslanguage-understandingmicrosoft

anselmwang/random_ml

Nov 2017 - Mar 2022

Contributions:20 pushes, 1 branch in 4 years 3 months

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