Wei Teh

Wei Teh Email and Phone Number

Senior AI/ML Specialist Solutions Architect at Amazon Web Services (AWS) @ Amazon Web Services (AWS)
Wei Teh's Location
Chesterfield, Missouri, United States, United States
Wei Teh's Contact Details

Wei Teh phone numbers

About Wei Teh

Big Data Analytics Engineering background with demonstrated proficiency of working in the cloud environment. Skilled in AWS services, Machine Learning, and DevOps. Strong information technology professional with a BS focused in Computer Science from University of Kansas.

Wei Teh's Current Company Details
Amazon Web Services (AWS)

Amazon Web Services (Aws)

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Senior AI/ML Specialist Solutions Architect at Amazon Web Services (AWS)
Wei Teh Work Experience Details
  • Amazon Web Services (Aws)
    Solutions Architect
    Amazon Web Services (Aws) Apr 2019 - Present
    Seattle, Wa, Us
  • Bayer Crop Science
    Big Data Cloud Analytics Architect
    Bayer Crop Science Nov 2013 - Apr 2019
    Leverkusen, North Rhine-Westphalia, De
    Lead the development of enterprise level, cloud native big data applications, machine learning models. Responsible for design, development, best practices, code reviews. Provided guidance on performance and scalability improvements operating in cloud environments.- Built end to end pipeline in Genomic Selection for crops on cloud native infrastructures (AWS) as backbone, leveraged Apache Spark distributed framework for big data analytics and query engine. - Implemented regression machine learning model derivative (Glmnet ElasticNet) using Spark ML library for genomic breeding predictions across various genomics, phenotypical datasets. - Engineered model training executions that scale horizontally in cloud environment across hundreds of nodes in Spark clusters.- Orchestrated Genomic Selection pipelines using Apache Airflow, responsible for providing the best predicted breeding values for assisting advancement decisions.- Applied Deep Learning for improved breeding predictions for Genomic Selection. Explored model deployments and executions across machine learning platforms for cost and performance benefits.- Built on-demand, container (docker) based batch job submission platform for the enterprise. Enabled massive parallel genome assembly jobs performed in high performance computing environment. Accelerated scientific discovery feedback loop through high concurrent / throughput system design leveraging cloud services to provide isolation, high availability, scalability, monitoring and audit reporting.
  • Monsanto
    Data Platform Engineer
    Monsanto Nov 2013 - Aug 2015
    St. Louis, Missouri, Us
  • Ncr Corporation
    Senior Software Engineer
    Ncr Corporation 2009 - Nov 2013
    Atlanta, Georgia, Us
    Participated in the architectural, design and implementation of enterprise software platform for the organization featuring SSO, Identity Management, User Provisioning, API management, Multi-tenancy, and Audit Logging. - Built usage metering infrastructure for all registered web applications using MongoDB to perform usage data analysis and aggregation. Provided technical guidance on leveraging the enterprise service bus for service orchestrations.- Technical lead for a team of 6 developers in Hyderabad office. Coordinated projects with Agile using standardized testing methodologies.- Adopted TDD (Test Driven Development) and BDD (Behavior Driven Development) methodologies in practice. Facilitated the automation of build lifecycles using Jenkins. Developed infrastructure automations with chef cookbooks and recipes. Reduced environment provisioning windows from days to minutes.
  • Fedex Services
    Senior Programmer Analyst
    Fedex Services 2006 - 2009
    - Implemented the core online revenue application that provides generic solution for Rating, Billing, and Revenue Recognition across FedEx operating companies. Saved company over $2M annually by eliminating overhead costs of developing and maintaining multiple versions of revenue systems and software licensing costs. - Built enterprise level application using J2EE architecture. Decoupled dependencies between applications using integration patterns and SOAP web services to improve efficiencies and interoperability.

Wei Teh Skills

Web Services Agile Methodologies Python Java Amazon Web Services Machine Learning Linux Rest Spring Framework Software Development Cloud Computing Enterprise Architecture Keras Tensorflow Docker Google Cloud Platform Nosql Databases Serverless Computing Apache Spark Apache Airflow Unix Shell Scripting Sql Weblogic C++ Sdlc Spring Java Enterprise Edition Jms Oracle Xml Requirements Analysis Tomcat Ant Eclipse Hibernate

Wei Teh Education Details

  • The University Of Kansas
    The University Of Kansas
    Computer Science

Frequently Asked Questions about Wei Teh

What company does Wei Teh work for?

Wei Teh works for Amazon Web Services (Aws)

What is Wei Teh's role at the current company?

Wei Teh's current role is Senior AI/ML Specialist Solutions Architect at Amazon Web Services (AWS).

What is Wei Teh's email address?

Wei Teh's email address is we****@****ail.com

What is Wei Teh's direct phone number?

Wei Teh's direct phone number is +120854*****

What schools did Wei Teh attend?

Wei Teh attended The University Of Kansas.

What skills is Wei Teh known for?

Wei Teh has skills like Web Services, Agile Methodologies, Python, Java, Amazon Web Services, Machine Learning, Linux, Rest, Spring Framework, Software Development, Cloud Computing, Enterprise Architecture.

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