Principal Data Scientist · Arizona State University

Hamidreza
Ghasemi

I build machine learning systems end to end, from model development to production deployment, with a focus on deep learning, NLP and MLOps on the cloud.

NowGenerative AILLMsMLOps on AWSData Science
Portrait of Hamidreza Ghasemi
status: building ML in production
📍 Tempe, AZ🇺🇸 U.S. citizen🎓 Ph.D., Electrical Engineering
8+
Years in ML & data science
3×
AWS certifications
6
Conference talks
Ph.D.
Electrical Engineering, University of Iowa
Worked · studied · certified at

About

I am Hamidreza Ghasemi (published as Hamidreza Ghasemi Damavandi), a Principal Data Scientist in the Actionable Analytics group within the Office of the University Provost at Arizona State University, where I oversee the complete lifecycle of machine learning projects, from model development to deployment. Previously, I was a Senior Machine Learning Scientist at Overstock.

I earned my B.S. in Electrical Engineering from the University of Tehran, ranked first overall in Iran, and my M.S. and Ph.D. in Electrical Engineering from the University of Iowa.

Research Interests

I like problems where rigorous methods meet real impact. These are the areas I keep coming back to:

Large Language Models & Generative AI

Retrieval-augmented generation, agentic workflows and LLM reasoning, and how to make them useful in real decision-making.

LLMsRAGAgentsReasoning

Trustworthy & Explainable AI

Uncertainty and confidence estimation, including step-wise confidence for LLM reasoning, plus model explainability with SHAP.

UncertaintyConfidenceSHAP

Statistical & Scientific ML

Statistical inference, applied statistics and scientific machine learning that respects the structure of the problem.

InferenceScientific MLApplied statistics

Deep Learning & NLP

Transformer architectures, representation learning and language understanding for text-heavy, real-world data.

TransformersNLPRepresentation learning

Signal & Image Processing

The foundation of my Ph.D. in Electrical Engineering: estimation, detection and computer vision.

EstimationComputer visionPh.D. research

Optimization & Reinforcement Learning

Constrained optimization (linear and integer programming) and learning to make sequential decisions under uncertainty.

Linear / integer programmingRL
Applied toStudent success & learning analytics at ASUAdvisor support with LLMsE-commerce pricing & discountsPublications on Google Scholar →

Experience

Education

University of Iowa logo
Ph.D., Electrical Engineering
University of Iowa, Iowa City, IA
2016
University of Iowa logo
M.S., Electrical Engineering
University of Iowa, Iowa City, IA
2016
University of Tehran logo
B.S., Electrical Engineering
University of Tehran, Iran
2013

Selected Projects

Skills

  • Machine LearningExpertXGBoost · scikit-learn · SHAP · time series
  • StatisticsExpertInference · Bayesian · experimentation
  • MLOps & AWSAdvanced+SageMaker · Step Functions · Metaflow · Terraform
  • Generative AI & LLMsAdvancedRAG · Bedrock · LangChain · embeddings
  • Deep LearningAdvancedPyTorch · TensorFlow · CNNs · Transformers
  • NLPAdvancedHugging Face · spaCy · NER · summarization
Skill strength by area
AreaLevelKey tools
Machine LearningExpert (5 / 5)XGBoost · scikit-learn · SHAP · time series
StatisticsExpert (5 / 5)Inference · Bayesian · experimentation
MLOps & AWSAdvanced+ (4.5 / 5)SageMaker · Step Functions · Metaflow · Terraform
Generative AI & LLMsAdvanced (4 / 5)RAG · Bedrock · LangChain · embeddings
Deep LearningAdvanced (4 / 5)PyTorch · TensorFlow · CNNs · Transformers
NLPAdvanced (4 / 5)Hugging Face · spaCy · NER · summarization

Generative AI & LLMs

Retrieval-Augmented Generation (RAG)Prompt EngineeringFine-tuningLangChainHugging Face TransformersOpenAI APIVector DatabasesEmbeddings

Machine Learning & Deep Learning

Supervised & Unsupervised LearningClassificationRegressionClusteringTime Series AnalysisRecommendation SystemsCNNsRNNs / LSTMsGANsTransformersPyTorchTensorFlowKerasScikit-learn

Natural Language Processing

Sentiment AnalysisTopic ModelingNamed Entity Recognition (NER)Machine TranslationText SummarizationQuestion AnsweringHugging FaceNLTKspaCy

Computer Vision

Image ClassificationObject DetectionImage CaptioningFace GenerationLandmark RecognitionOpenCV

Cloud Computing & MLOps

AWS SageMakerAWS BedrockAWS LambdaAWS EC2AWS S3DockerKubernetesJenkinsMLflowMetaflowFastAPIFlaskApache Spark

Programming & Data Science

PythonSQLRPandasNumPyMatplotlibSeabornGitGitHubData StructuresAlgorithms

Talks

Nov 2025

Cracking XGBoost: The Go-To Machine Learning Algorithm for Structured Data

ASU Data Conference, Tempe, AZ
Nov 2024

Transformers: Revolutionary Deep Learning Architectures

ASU Data Conference, Tempe, AZ
Nov 2023

An Introduction to Generative AI

ASU Data Conference, Tempe, AZ
Nov 2022

An Introduction to Deep Learning

ASU Data Conference, Tempe, AZ
Jun 2022

Predicting Persistence Using Machine Learning: From Model Development to Deployment

AIR Forum, Phoenix, AZ
Mar 2022

Predicting Student Persistence

ASU Library Data Science Open Lab, Tempe, AZ

Certifications & Honors

Honors & awards

  • Ranked 236th among 310,000 in Iran's nationwide university entrance exam (2009).
  • Admitted to the University of Tehran, ranked 1st overall in Iran.
  • Convener and chair, Machine Learning Applications in Hydrology session, AGU 2019.
  • Full Graduate Research Assistantship (2013) and CGRER graduate travel award (2016), University of Iowa.

Updates

Visa Status

🇺🇸 U.S. Citizen

No sponsorship required

My path to U.S. citizenship:

  1. 2016
    Green card through the National Interest Waiver (NIW)

    My research and academic achievements made the case that my work benefits the United States, so I earned an EB-2 NIW green card on my own merit, with no employer sponsor needed. Proud nerd moment!

  2. 2024
    Became a naturalized U.S. citizen

    Raised my right hand, took the oath, and made it official. One of the best days of my life!

  3. Today
    Ready to start, no strings attached

    Available for any role with no sponsorship, no transfers and no timelines to worry about. Let's build something great.

My Journey

Tehranuntil 2013 Iowa City2013 Tempe2018 – today
01Tehran, IranUntil 2013

B.S. in Electrical Engineering, University of Tehran, ranked first in Iran

02Iowa City, Iowa2013 – 2016

M.S. and Ph.D. in Electrical Engineering, University of Iowa

03Tempe, Arizona2018 – today

Postdoctoral researcher, then Senior and now Principal Data Scientist at Arizona State University

Travel

Outside of work I love exploring the American West. A few favorite places:

A hiker standing on Devil's Bridge, a red sandstone arch in Sedona, with red rock mesas behind
Sedona, AZDevil's BridgeA hiker on Sedona's largest sandstone arch, red rock mesas behind.
Turquoise water, granite boulders and pine trees at a cove on Lake Tahoe
Sand HarborLake TahoeSwimmers in clear turquoise water among granite boulders and pines.
The Colorado River curving around a sandstone butte at Horseshoe Bend under a blue sky
Page, AZHorseshoe BendThe Colorado River wrapping around a sandstone butte, 1,000 ft below.

For Recruiters

Do you require visa sponsorship?
No. I am a U.S. citizen, so there is no visa, sponsorship or transfer involved.
Where are you based?
Tempe, Arizona (Phoenix area). I am happy to discuss remote, hybrid or on-site arrangements.
What kinds of roles interest you?
Senior and principal-level roles in machine learning, generative AI / LLMs and MLOps, especially where I can own models end to end, from problem framing and modeling to production deployment on AWS.
What are your strongest skills?
Building production ML systems: predictive modeling (XGBoost, deep learning), LLM and RAG applications, explainability with SHAP, and MLOps pipelines on AWS (SageMaker, Bedrock, Step Functions, Lambda).
How can I reach you fastest?
Book a 30-minute chat on my calendar, use the contact form below, or email hamidghasemi69@gmail.com.
Can I get your résumé?
Get in touch

Let's connect

Open to conversations about machine learning, MLOps and new opportunities. Send me a message here and it lands straight in my inbox, or pick a time that works for you.

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