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Jack Michaels Email & Phone Number
Machine Learning Engineer
at
WindBorne Systems
1 work email found
@windbornesystems.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 86%
Current company
Role
Machine Learning Engineer
Location
Stanford, California, United States
Company size
Who is Jack Michaels? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Jack Michaels is listed as Machine Learning Engineer at WindBorne Systems, a company with 59 employees, based in Stanford, California, United States. AeroLeads shows a work email signal at windbornesystems.com and a matched LinkedIn profile for Jack Michaels.
Jack Michaels previously worked as AI Intern at Windborne Systems and Graduate Research Assistant at Stanford University School Of Medicine. Jack Michaels holds Master Of Science - Ms, Computer Science from Stanford University.
Company email context
Email format at WindBorne Systems
This section adds company-level context without repeating Jack Michaels's masked contact details.
{first}@windbornesystems.com
89% confidence
AeroLeads found 1 current-domain work email signal for Jack Michaels. Compare company email patterns before reaching out.
Profile bio
About Jack Michaels
Jack Michaels is a Machine Learning Engineer at WindBorne Systems. He is proficient in Spanish.
Current workplace
Jack Michaels's current company
Company context helps verify the profile and gives searchers a useful next step.
Windborne Systems
6 roles
Jack Michaels work experience
A career timeline built from the work history available for this profile.
Ai Intern
Current
Nov 2024 - Present
Graduate Research Assistant
- Implemented data synthesis pipeline with deep generative models to produce high quality MRI scans for downstream applications- Worked under Wei Peng at the Computational Neuroscience Lab
Jan 2024 - May 2024
Cs221 Teaching Assistant
- Led weekly office hours, wrote and tested exams, mentored team projects, and graded assignments for Stanford's CS221 (Introduction to AI) course under Percy Liang and Dorsa Sadigh- Mentored a student to win 'Best Project' out of 50+
Sep 2023 - Dec 2023
Math Subject Tutor
- Math 53: Differential Equations with Linear Algebra, Fourier Methods,and Modern Applications- Math 52: Integral Calculus of Several Variables- Math 51: Linear Algebra, Multivariable Calculus, and Modern Applications- Math 19, 20, 21: Calculus
Aug 2023 - Dec 2023
Software Engineer Intern
- Enhanced and engineered a robust utterance classification model for transcribed audio leveraging recurrent architectures to improve agent effectiveness.- Designed and enhanced comprehensive web interface created for call center supervision, management and virtual agent control.
Jun 2022 - Sep 2022
Team & coworkers
Colleagues at WindBorne Systems
Other employees you can reach at windbornesystems.com. View company contacts for 59 employees →
JL
John L.
Colleague at Windborne SystemsSan Francisco Bay Area, United States
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CR
Christopher Riedel
Colleague at Windborne SystemsNorman, Oklahoma, United States, United States
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MS
Mei-Lan S.
Colleague at Windborne SystemsPalo Alto, California, United States, United States
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HD
Haoxing Du
Colleague at Windborne SystemsSan Francisco Bay Area, United States
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JT
Jeff Tran
Colleague at Windborne SystemsSan Francisco Bay Area, United States
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CM
Clay Malott
Colleague at Windborne SystemsMenlo Park, California, United States, United States
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NG
Nikki Gmerek
Colleague at Windborne SystemsPalo Alto, California, United States, United States
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PB
Peter Black
Colleague at Windborne SystemsMiami, Florida, United States, United States
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KW
Kailey Wyatt
Colleague at Windborne SystemsSanta Clara, California, United States, United States
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AR
Aleksandr Riabov
Colleague at Windborne SystemsSan Francisco Bay Area, United States
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John L.
Colleague at Windborne SystemsSan Francisco Bay Area, United States
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CR
Christopher Riedel
Colleague at Windborne SystemsNorman, Oklahoma, United States, United States
View →
MS
Mei-Lan S.
Colleague at Windborne SystemsPalo Alto, California, United States, United States
View →
HD
Haoxing Du
Colleague at Windborne SystemsSan Francisco Bay Area, United States
View →
JT
Jeff Tran
Colleague at Windborne SystemsSan Francisco Bay Area, United States
View →
CM
Clay Malott
Colleague at Windborne SystemsMenlo Park, California, United States, United States
View →
NG
Nikki Gmerek
Colleague at Windborne SystemsPalo Alto, California, United States, United States
View →
PB
Peter Black
Colleague at Windborne SystemsMiami, Florida, United States, United States
View →
KW
Kailey Wyatt
Colleague at Windborne SystemsSanta Clara, California, United States, United States
View →
AR
Aleksandr Riabov
Colleague at Windborne SystemsSan Francisco Bay Area, United States
View →
3 education records
Jack Michaels education
Master Of Science - Ms, Computer Science
Bachelor Of Science - Bs, Computer Science
High School Diploma
FAQ
Frequently asked questions about Jack Michaels
Quick answers generated from the profile data available on this page.
What company does Jack Michaels work for?
Jack Michaels works for WindBorne Systems.
What is Jack Michaels's role at WindBorne Systems?
Jack Michaels is listed as Machine Learning Engineer at WindBorne Systems.
What is Jack Michaels's email address?
AeroLeads has found 1 work email signal at @windbornesystems.com for Jack Michaels at WindBorne Systems.
Where is Jack Michaels based?
Jack Michaels is based in Stanford, California, United States while working with WindBorne Systems.
What companies has Jack Michaels worked for?
Jack Michaels has worked for Windborne Systems, Stanford University School Of Medicine, Stanford University Department Of Computer Science, Stanford University, and Gridspace.
Who are Jack Michaels's colleagues at WindBorne Systems?
Jack Michaels's colleagues at WindBorne Systems include John L., Christopher Riedel, Mei-Lan S., Haoxing Du, and Jeff Tran.
How can I contact Jack Michaels?
You can use AeroLeads to view verified contact signals for Jack Michaels at WindBorne Systems, including work email, phone, and LinkedIn data when available.
What schools did Jack Michaels attend?
Jack Michaels holds Master Of Science - Ms, Computer Science from Stanford University.
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