Keith H. Warnick, Ph.D.

Keith H. Warnick, Ph.D. Email and Phone Number

Director of AI and ML @ Wanderheart
Salt Lake City, UT, US
Keith H. Warnick, Ph.D.'s Location
Salt Lake City, Utah, United States, United States
Keith H. Warnick, Ph.D.'s Contact Details

Keith H. Warnick, Ph.D. work email

Keith H. Warnick, Ph.D. personal email

About Keith H. Warnick, Ph.D.

I love machine learning, AI and complex systems, and I'm excited to be using my skills as both an IC and a manager to achieve great outcomes. My strong technical background in generative AI, feature extraction, modeling, optimization and validation has enabled me to effectively lead the development of cutting-edge ML applications and I'm looking to do new and great things with other talented people.

Keith H. Warnick, Ph.D.'s Current Company Details
Wanderheart

Wanderheart

View
Director of AI and ML
Salt Lake City, UT, US
Website:
wanderheart.co
Employees:
5
Keith H. Warnick, Ph.D. Work Experience Details
  • Wanderheart
    Director Of Ai And Ml
    Wanderheart
    Salt Lake City, Ut, Us
  • Wanderheart
    Director Of Ai/Ml
    Wanderheart Apr 2024 - Present
    Creating engaging stories and roleplaying experiences by combining human storytelling and the latest in AI
  • Launch By Ntt Data
    Associate Director, Digital Engineering Management
    Launch By Ntt Data Dec 2022 - Apr 2024
    • Designs and builds large language model (LLM) applications for natural language interactions, retrieval augmented generation (RAG), and other generative text and image applications.• Programs computer vision applications for real-world unstructured data classification• Advises and directs projects in ML predictive modeling, feature extraction from text and image data, and classification on rich unstructured data.• Assesses and presents summarized potential value of applying latest AI/ML techniques to business use cases.
  • Overstock
    Senior Manager Of Machine Learning
    Overstock Mar 2022 - Sep 2022
    Midvale, Ut, Us
    • Led the Recommendation Systems team of 5-7 ML scientists and engineers, responsible for algorithmically producing product recommendations and personalizing engagement with customers across the website and emails.• Coordinating extensively with product managers, owners, and business units to align development roadmaps and implement identified opportunities for increased user conversion.• Designed and built an embedding pipeline for product text data leveraging fastText and Faiss.• Designed and led development of a realtime ML recommendations pipeline that incorporates both same-session user site interaction signals and past-session historical data to personalize product recommendations.• Led development and implementation of product image embeddings leveraging deep CNNs to capture visual qualities of products.• Produced novel multi-input embeddings that simultaneously capture all available product data sets with varying catalog coverage in a single representation.
  • Overstock
    Manager Of Machine Learning
    Overstock Apr 2019 - Mar 2022
    Midvale, Ut, Us
  • Hirevue
    Data Scientist
    Hirevue Dec 2014 - Apr 2019
    South Jordan, Utah, Us
    • Designed and implemented a model training, validation and selection pipeline for producing assessments of video interviews.• Selected, adapted, and trained a deep neural network architecture for transcribing English speech to text.• Designed and trained deep neural net demographics prediction models for monitoring algorithmic bias in hiring.• Developed and implemented algorithmic solutions for measuring and mitigating demographic biases in video interview assessment models.
  • Vanderbilt University
    Phd Candidate And Research Assistant
    Vanderbilt University Aug 2008 - Dec 2013
    Nashville, Tennessee, Us
    • Designed and performed density functional theory (DFT) calculations to investigate problems in point defect energies, point defect diffusion barriers, molecular catalysis, and crystallographic phase transitions. Configured and managed computations on large supercomputing clusters. • Discovered a possible mechanism for room-temperature vacancy diffusion contributing to a specific device failure mode in AlGaN HEMT devices. Expected relevance for other high-field semiconductor devices with charged point defects.• Identified Fe-porphyrin as a potential self-cleaning catalyst for room-temperature reactions between DNT and atmospheric O2. Characterized reaction pathways and activation barriers for the reaction.• Configured and managed computations on large supercomputing clusters.• Regularly prepared and presented both oral and published reports of my work for a broad audience.
  • Idaho National Laboratory
    Research Assistant
    Idaho National Laboratory May 2006 - May 2008
    Idaho Falls, Id, Us
    • Independently designed and implemented an iterative system identification algorithm that creates nonlinear differential equation models of time series data. Algorithm became basis of further work and development by other group members. • Wrote detailed notes on design and implementation of system identification algorithm for future reference and development. • Designed, implemented and documented a graphical user interface (GUI) for the system identification program.
  • Utah State University
    Research Assistant
    Utah State University Jul 2005 - Jul 2007
    Logan, Utah, Us
    • Analyzed theoretical data to assess behavior of computer models. Managed data collection, analysis and presentation.• Designed and programmed a model simulating the pressure, size and temperature dynamics of insonified gas bubbles patterned after the Galerkin spectral method. • Ran simulations using a multipole model of multiple scattering of acoustic and electromagnetic waves in media with dispersed spheroidal inclusions. Identified spectral trends useful for characterizing inclusions by ultrasonic probing. Performed data analysis and prepared visual presentations of relevant data features.
  • Utah State University
    Research Assistant
    Utah State University 2002 - 2002
    Logan, Utah, Us
    • Responsible for equipment and materials cleaning and maintenance. • Independently performed a wide variety of diagnostic tests on soil samples.

Keith H. Warnick, Ph.D. Skills

Data Analysis Simulations Python Algorithms Matlab C++ Physics Mathematical Modeling Numerical Analysis Teaching Computational Modeling Vasp Supercomputing Molecular Biology Dft Calculation/simulation

Keith H. Warnick, Ph.D. Education Details

  • Vanderbilt University
    Vanderbilt University
    Physics (Computational Condensed Matter Theory)
  • Utah State University
    Utah State University
    Physics With A Professional Emphasis

Frequently Asked Questions about Keith H. Warnick, Ph.D.

What company does Keith H. Warnick, Ph.D. work for?

Keith H. Warnick, Ph.D. works for Wanderheart

What is Keith H. Warnick, Ph.D.'s role at the current company?

Keith H. Warnick, Ph.D.'s current role is Director of AI and ML.

What is Keith H. Warnick, Ph.D.'s email address?

Keith H. Warnick, Ph.D.'s email address is kw****@****ock.com

What schools did Keith H. Warnick, Ph.D. attend?

Keith H. Warnick, Ph.D. attended Vanderbilt University, Utah State University.

What skills is Keith H. Warnick, Ph.D. known for?

Keith H. Warnick, Ph.D. has skills like Data Analysis, Simulations, Python, Algorithms, Matlab, C++, Physics, Mathematical Modeling, Numerical Analysis, Teaching, Computational Modeling, Vasp.

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