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Jing Wang's email & phone

Position:Generative AI Engineer at LexisNexis
Experience:13 years
Location:Katy, Texas, United States

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Work Experience

Generative AI Engineer at LexisNexis

May 2025 - Current

Generative AI Engineer at Korn Ferry

May 2025 - Oct 2025

MLOps Engineer at Xoriant

Sep 2024 - Aug 2025

MLOps Enginer at Velocity Global

Dec 2023 - Sep 2024

Machine Learning Engineer II at Velocity Global

Feb 2023 - Dec 2023

Machine Learning Engineer I at Velocity Global

Apr 2022 - Feb 2023

Machine Learning Engineer at Justworks

Nov 2022 - Apr 2023

Data Scientist at Department of Community Development

Aug 2021 - Oct 2022

Senior Data Scientist at Royal Group LLC

Dec 2019 - Aug 2021

Data Scientist at Royal Group LLC

Dec 2016 - Dec 2019

Chief Technology Officer at Yangzhou Mango Information Technology

Sep 2015 - Jan 2019

Machine Learning Researcher at Computational Approaches to Modeling Language Lab

Jul 2016 - Dec 2016

Machine Learning Researcher at Structural and Functional Bioinformatics Group

Jun 2014 - Jul 2016

Data Scientist at Bioinformatics Laboratory

Jul 2013 - Jun 2014

Jing Wang started working in 2013, then the employee has changed 10 companies and 9 jobs. On average, Jing Wang works for one company for 1 year 3 months.

Education

Postdoctoral Fellowship at The State University of New York

Skills

Human Resources Information Systems (HRIS), Bioinformatics, A/B Testing, SQL, CatBoost, Amazon S3, Search Engine Ranking, Knowledge Graph-Based Recommendation, Azure Kubernetes Service (AKS), Data Science, PyTorch, GPU, Analytical Skills, GPT-3, SageMaker Pipelines, Computational Biology, Causal Inference, REST APIs, Geographic Information Systems (GIS), Amazon ECS, Object Detection, MySQL, Amazon EKS, FastAPI, Digital Twin, Biotechnology, Chatbot Development, AWS SageMaker, Structural Bioinformatics, Apache Spark, Concept Drift Adaptation, Question Answering, Feature Store, Dashboard Building, Big Data, AWS CodeDeploy, Amazon Elastic MapReduce (EMR), AWS CodePipeline, AWS Glue, Graphics Processing Unit, Arabic, Pandas (Software), Microsoft SQL Server, Large Language Models (LLM), Natural Language Processing (NLP), Machine Learning, Elasticsearch, XGBoost, SageMaker Model Monitor, Azure Databricks, Jenkins, Exploratory Data Analysis, Word Embeddings, Azure OpenAI, Facial Recognition, Natural Language Generation, Job Matching, Scikit-Learn, GitHub, TensorFlow, LightGBM, Amazon CloudWatch, Transformers, Amazon Redshift, Hyperparameter Tuning, Artificial Intelligence (AI), Python (Programming Language), Infrastructure as code (IaC), Amazon Web Services (AWS), Generative AI, Docker, MLflow, Docker , Recommender Systems, Statistical Research, Knowledge Graphs, Continuous Integration and Continuous Delivery (CI/CD), Deep Learning, Microsoft Azure Machine Learning, Terraform, Microsoft Power BI, Keras

Frequently Asked Questions

What is Jing Wang's minimum period of employment in the companies?

Jing Wang's minimum period of employment in various companies is 5 months.

What is Jing Wang's average duration of employment for different companies?

On average, Jing Wang works for one company for 1 year 3 months

What industries has Jing Wang worked in?

Jing Wang works in the Information Technology and Services. Previously, Jing Wang worked in the Management Consulting, and Computer Software, and Human Resources, and Government Administration, and Financial Services.

What positions has Jing Wang held before?

Previously, Jing Wang worked as a Generative AI Engineer, and MLOps Engineer, and MLOps Enginer, and Machine Learning Engineer II, and Machine Learning Engineer I.

How do I contact Jing Wang?

Jing Wang's email address is j****w@lexisnexis.com, phone number is +1-***-***-1825. Sign up to get contact details.

Who is the CEO of the LexisNexis?

The CEO of the LexisNexis is Mike Walsh

Who are Jing Wang's peers at other companies?

Jing Wang's peers at other companies are Jani Arafath and Urooj Khan and Anirudh Thakur

Jing Wang Namesakes

Name
Company
Position
J
Huashan Hospital, Fudan University
Resident Doctor

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