Hsu chingcheng
@hsuchingcheng
Senior data scientist and tech lead driving ML solutions for industry problems.
What I'm looking for
I am a senior data scientist and technical lead with over a decade of experience applying data-driven analysis, modeling and production delivery across industry and research settings. I have led teams to build semiconductor defect detection, root-cause analysis systems on GCP, knowledge-graph–enhanced search, and shipped NLP deep-learning models for product suites.
My background spans academic research (PhD in experimental high-energy physics) and industrial roles at Micron, Microsoft, and Aricent, where I designed ML systems for sentiment detection, spam/phish detection, offensive language filtering, and model monitoring. I combine expertise in text processing (transformers, LLMs, NLTK, jieba), scientific computing (Python, NumPy, SciPy, C++, pandas, PySpark), and cloud deployments.
I am a technical communicator and mentor—teaching data science courses, speaking at campus and public events, and advising students—focused on leveraging analytics to solve high-priority social problems and improve human life.
Experience
Work history, roles, and key accomplishments
Lead development of semiconductor defect early-detection and RCA systems on GCP, implemented a reinforcement learning human-label classification pipeline, and built neo4j-based knowledge graphs integrated with LLMs and Elasticsearch for internal search.
Senior Data Science Mentor
Flagdream
Sep 2019 - Present (6 years 1 month)
Provided 1:1 mentoring and taught multiple machine learning and data science courses to students remotely, guiding project development and career readiness from 2019 onward.
Shipped NLP deep-learning models for polarized sentiment detection in Dynamics365 CRM, led unsupervised sentiment/topic modeling and topic-trending algorithms, and developed content-based models for phishing/spam email detection and anomaly alerts.
Sr. Machine Learning Expert
Aricent Technology
Mar 2016 - May 2017 (1 year 2 months)
Led deployment of offensive-language ML models on Azure, implemented performance monitoring metrics, and collaborated with Xbox enforcement to filter profanity using machine learning.
Conducted statistical time-series analysis and modeling on gamma-ray satellite data and performed radiation sensor calibration and image analysis under NASA grants.
Einstein Postdoc Fellow
University of Bern
Jan 2012 - Feb 2013 (1 year 1 month)
Lectured graduate astrophysics course and developed ionization particle-tracking algorithms for cryogenic detector systems.
Postdoc Fellow
NIKHEF
May 2009 - Dec 2011 (2 years 7 months)
Developed ML algorithms for pattern recognition of high-energy cosmic-ray composition, statistical models for multi-time-series neutrino telescope data, and simulation software for radiation sensors.
Visiting Scientist
DESY
Dec 2008 - Feb 2009 (2 months)
Developed C++ and Python software for multi-sensor correlation studies in high-energy physics research.
Education
Degrees, certifications, and relevant coursework
Ludwig Maximilian University of Munich
Doctor of Philosophy, Experimental High Energy Physics
2006 - 2010
Grade: Magna Cum Laude
Activities and societies: Max-Planck Society PhD Fellowship; research on photon sensor simulation and calibration.
PhD in Experimental High Energy Physics with focus on data analysis and photon sensor simulation, characterization, and calibration; graduated Magna Cum Laude.
National Taiwan University
PhD student (incomplete), Physics
2001 - 2005
Doctoral studies in Physics (did not complete PhD program).
National Taiwan University & Academia Sinica
Master of Science, Physics
1996 - 1998
Master's degree in Physics completed through National Taiwan University with research connections to Academia Sinica.
National Taiwan University
Bachelor of Science, Physics
1992 - 1996
Bachelor's degree in Physics.
Availability
Location
Authorized to work in
Website
scholar.google.com/citationsJob categories
Skills
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