Hsiang-hsuan Hung
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolHsiang-hsuan Hung is a Senior ML Data Engineer in San Francisco with 10 years of experience building production-scale ML and big-data systems that span AWS, Spark, Kafka, and deep learning pipelines. He combines a strong academic grounding—a PhD in physics and postdoctoral research using MCMC and numerical optimization—with practical delivery of CV models, AI agents on AWS Bedrock, and end-to-end data ingestion and streaming pipelines. His background in computational physics informs a rigorous approach to stochastic sampling, high-performance computing, and spatial analytics, which he applies to geospatial risk modeling, anomaly detection, and feature engineering. At Adobe he shipped production CV models and led data governance for sensitive customer data; previously he led time-series anomaly and GAN-based synthetic data work at AppDynamics. An active practitioner and open-source contributor (github.com/HsiangHung) who blogs at tripleh.io, he uniquely bridges quantitative research methods with pragmatic engineering to turn complex, high-dimensional problems into scalable, auditable solutions.
10 years of coding experience
9 years of employment as a software developer
University of California San DiegoBachelor's degree, Physics, Bachelor's degree, Physics at Tunghai UniversityMaster's degree, Physics, Master's degree, Physics at Nanjing UniversityMaster's degree, Physics, Master's degree, Physics at University of Pittsburgh
English, Chinese
Github Skills (23)
python8
deep-learning8
generative-adversarial-network8
machine-learning8
pytorch8
data-science8
dataset-generation7
synthetic-data7
synthetic7
tensorflow7
training-data6
jax5
neural-network5
mcl5
time-series5
Programming languages (3)
Github contributions (5)
HsiangHung/TIPMAX
Feb 2016 - Oct 2017
Contributions:129 pushes, 1 branch in 1 year 8 months
HsiangHung/MachineLearningNote
May 2018 - Dec 2018
Contributions:334 pushes, 1 branch in 7 months
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