Senior Ai Software Engineer
Current
Aug 2023 - Present
AeroLeads people directory · profile
Grant Williams Email & Phone Number
Senior AI Engineer
at
Vanilla
1 work email found
@okstate.edu
2 phones found area 405
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Who is Grant Williams? Overview
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Quick answer
Grant Williams is listed as Senior AI Engineer at Vanilla, based in Bixby, Oklahoma, United States. AeroLeads shows a work email signal at okstate.edu, phone signal with area code 405, and a matched LinkedIn profile for Grant Williams.
Grant Williams previously worked as Senior AI Software Engineer at Vanilla and Senior Software Engineer at Picnichealth. Grant Williams holds Bachelor Of Science (Expected May 2017), Computer Science from Oklahoma State University.
Company email context
Email format at Vanilla
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{first}.{last}@okstate.edu
86% confidence
AeroLeads found 1 current-domain work email signal for Grant Williams. Compare company email patterns before reaching out.
Profile bio
About Grant Williams
Senior Machine Learning Engineer at Manifold Group
Listed skills include Research, Physics, Matlab, Mathematics, and 20 others.
Current workplace
Grant Williams's current company
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10 roles
Grant Williams work experience
A career timeline built from the work history available for this profile.
Aug 2022 - Jan 2023
Senior Machine Learning Engineer
May 2020 - Aug 2022
Jul 2019 - Mar 2020
Python Developer
Aug 2018 - Jun 2019
Software Developer
Jan 2018 - Aug 2018
Software Engineer
Gradedeck
Working on Optical Character Recognition and Natural Language Processing using Tensorflow and Keras.
Jun 2017 - Jan 2018
Software Engineering Intern
Developed algorithms to trigger alerts based on weather forecast data in Python using Pandas, and Numpy.
Jan 2017 - May 2017
Student Research
I've conducted research at OSU for a number of different projects. The first project was a continuation of my work with genetic algorithms for wind farm layouts. I worked on developing a better genetic algorithm that runs efficiently on clusters or other parallel enabled computers. The algorithm is self adapting and very flexible.I am currently working on.
Aug 2014 - Aug 2016
Research Experience For Undergraduates
I got to develop and implement a project of my design involving wind turbines with the help of my mentors April Taylor and Dr. Renee McPherson.The project was maximizing the amount of power a wind farm can output by modeling ideal wind turbine locations using an Artificial Intelligence algorithm called the Genetic Algorithm.
Jun 2014 - Aug 2014
2 education records
Grant Williams education
Bachelor Of Science (Expected May 2017), Computer Science
Oklahoma State University
High School Diploma
Metro Christian Academy
FAQ
Frequently asked questions about Grant Williams
Quick answers generated from the profile data available on this page.
What company does Grant Williams work for?
Grant Williams works for Vanilla.
What is Grant Williams's role at Vanilla?
Grant Williams is listed as Senior AI Engineer at Vanilla.
What is Grant Williams's email address?
AeroLeads has found 1 work email signal at @okstate.edu for Grant Williams at Vanilla.
What is Grant Williams's phone number?
AeroLeads has found 2 phone signal(s) with area code 405 for Grant Williams at Vanilla.
Where is Grant Williams based?
Grant Williams is based in Bixby, Oklahoma, United States while working with Vanilla.
What companies has Grant Williams worked for?
Grant Williams has worked for Vanilla, Picnichealth, Manifold, Ojo Labs, and Elynx Technologies.
How can I contact Grant Williams?
You can use AeroLeads to view verified contact signals for Grant Williams at Vanilla, including work email, phone, and LinkedIn data when available.
What schools did Grant Williams attend?
Grant Williams holds Bachelor Of Science (Expected May 2017), Computer Science from Oklahoma State University.
What skills is Grant Williams known for?
Grant Williams is listed with skills including Research, Physics, Matlab, Mathematics, Artificial Intelligence, Programming, Algorithms, and Computational Physics.
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