Open to opportunities

Hsu chingcheng

@hsuchingcheng

Message

Senior data scientist and tech lead driving ML solutions for industry problems.

Taiwan

Message

What I'm looking for

I seek senior technical roles leading ML/NLP teams where I can build production systems on cloud, mentor others, and apply analytics to meaningful social and industry problems.

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

Current

Sr. Data Scientist Tech Lead

Current

Micron Technology

Aug 2022 - Present (3 years 2 months)

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.

Reinforcement Learning GCP)Neo4j Elasticsearch Large Language Models Python MLOps Knowledge Graphs GCP

Current

Senior Data Science Mentor

Current

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.

Mentoring Machine Learning Curriculum Development Python scikit learn PyTorch Data Science

Data and Applied Scientist II

Microsoft

May 2017 - Jul 2022 (5 years 2 months)

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.

NLP Deep Learning Topic modeling PyTorch Anomaly Detection Email Security Python scikit learn

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.

Azure Offensive Language Detection Monitoring Python Machine Learning NLP

Research Scholar

Louisiana State University

Mar 2013 - Feb 2016 (2 years 11 months)

Conducted statistical time-series analysis and modeling on gamma-ray satellite data and performed radiation sensor calibration and image analysis under NASA grants.

Time Series Analysis Statistical Modeling Python Scientific Computing Data Analysis

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.

Cryogenic Detectors C++Python Data Analysis

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.

Machine Learning Time Series Simulation C++Python Statistical Modeling

Visiting Scientist

DESY

Dec 2008 - Feb 2009 (2 months)

Developed C++ and Python software for multi-sensor correlation studies in high-energy physics research.

C++Python Multi Sensor Correlation Scientific Computing Data Analysis 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.