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Wes Ackerman is listed as Machine Learning Engineer | MS in Computer Science at FamilySearch, a company with 1077 employees, based in Provo, Utah, United States. AeroLeads shows a work email signal at familysearch.org and a matched LinkedIn profile for Wes Ackerman.
Wes Ackerman previously worked as Machine Learning Engineer at Familysearch and Graduate Student Researcher at Brigham Young University. Wes Ackerman holds Master'S Degree, Computer Science, 3.89 from Brigham Young University.
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AeroLeads found 1 current-domain work email signal for Wes Ackerman. Compare company email patterns before reaching out.
Wes Ackerman is a Machine Learning Engineer | MS in Computer Science at FamilySearch. He possess expertise in deep learning, neural networks, machine learning, java, teaching and 3 more skills.
Listed skills include Deep Learning, Neural Networks, Machine Learning, Java, and 4 others.
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Build and refine Airflow ML training pipeline to version control training data and easily train & evaluate new models in AWS Sagemaker.Collaborate with research group to intake, test, refine, and productize new model architectures. Collaborative experiments have drastically improved f-score of vision-transformer-based image summarization model and.
Provo, Utah Area
Designed and constructed a generative adversarial network (GAN) that generates more realistic images when performing image-to-image translation on distinct image domains.Managed deep network pipeline: image dataset creation, iteration, and normalization using PyTorch; semantic segmentation generation (using Google’s DeepLab network) and cleaning; and using.
Provo, Utah Area
Taught machine learning algorithms and best practices to more than 400 undergraduates and evaluated the quality of 400+ undergraduate-constructed models.Taught and debugged many types of ML model for 3+ years, providing a deep knowledge of regression models, neural networks, decision trees, clustering algorithms, KNN nearest neighbor algorithms, and.
Provo, Utah Area
Ran 100+ experiments to evaluate a stochastic multiple choice learning (sMCL) algorithm. Created a Python pipeline to process fMRI data and train sMCL CNN models.
Consulted on machine learning best practices and analyzed & explained recent scientific papers for the team.Designed methods to improve realistic image generation using laplacian pyramid structures and semantic segmentation information.
Draper, UT
Created Java API structures to query MongoDB records and rapidly search, load, and sort hundreds of thousands of datapoints. Built front-end AngularJS functionality to display datapoints clearly based on search and sort criteria.
Madison, WI
Designed and constructed a proof-of-concept C# application that used Epic data structures to assess the completeness of clinical documentation.
Other employees you can reach at familysearch.org. View company contacts for 1077 employees →
Melissa Dube
Colleague at FamilysearchBulawayo, Bulawayo Province, Zimbabwe, Zimbabwe
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Whitney Peterson
Colleague at FamilysearchSalt Lake City, Utah, United States, United States
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Gordon Browning
Colleague at FamilysearchSalt Lake City, Utah, United States, United States
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Chekwubechukwu N.
Colleague at FamilysearchCalabar, Cross River State, Nigeria, Nigeria
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Dan Mwahila
Colleague at FamilysearchLubumbashi, Haut-Katanga, Democratic Republic Of The Congo, Congo, The Democratic Republic Of The
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Martin Gomez
Colleague at FamilysearchSalt Lake City Metropolitan Area, United States
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Leslie Clarke
Colleague at FamilysearchEdmonton, Alberta, Canada, Canada
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Elder Butler
Colleague at FamilysearchSalt Lake City, Utah, United States, United States
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Leann Britton
Colleague at FamilysearchOregon, United States, United States
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Dawne Hole
Colleague at FamilysearchCenterville, Utah, United States, United States
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Researched improving the ability of generative adversarial networks in unsupervised image-to-image translation. Have quantitative and.
Minor in Business Management
Quick answers generated from the profile data available on this page.
Wes Ackerman works for FamilySearch.
Wes Ackerman is listed as Machine Learning Engineer | MS in Computer Science at FamilySearch.
AeroLeads has found 1 work email signal at @familysearch.org for Wes Ackerman at FamilySearch.
Wes Ackerman is based in Provo, Utah, United States while working with FamilySearch.
Wes Ackerman has worked for Familysearch, Brigham Young University, Thinci, Superlumin, and Epic.
Wes Ackerman's colleagues at FamilySearch include Melissa Dube, Whitney Peterson, Gordon Browning, Chekwubechukwu N., and Dan Mwahila.
You can use AeroLeads to view verified contact signals for Wes Ackerman at FamilySearch, including work email, phone, and LinkedIn data when available.
Wes Ackerman holds Master'S Degree, Computer Science, 3.89 from Brigham Young University.
Wes Ackerman is listed with skills including Deep Learning, Neural Networks, Machine Learning, Java, Teaching, C++, Public Speaking, and Data Structures.
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