Asif Haider in

Asif Haider

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Applied AI Machine Learning Instructor at OnStak
📍 Dallas, Texas, United States

Asif Haider is a Decision Scientist and AI consultant who translates complex technology into executable business strategies for executives. A U. S. Air Force veteran with a DOD clearance, he holds a Masters from Columbia University and specializes in enterprise AI/ML platform deployment. People who have worked with him describe him as a talented leader, committed to excellence.

Outside of his technical work, Asif identifies as a father and an airman. He leverages his military leadership experience in the corporate world, focusing on team cohesion and executing business transformation efforts. He has successfully navigated the transition from military service to a career in data science and technology.

Asif co-founded AxeGenAI, a company that specializes in a unique triage method to identify and design promising Generative AI use cases for clients.

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Experience
19 Years
Current Role
Applied AI Machine Learning Instructor
Location
Dallas, Texas, United States
Personality Overview

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Communication Style
Decision Approach
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Priorities

Topics Asif cares about

AI for Executives
His work focuses on translating complex AI into clear decisions for executives and aligning systems with business outcomes.
Generative AI Strategy
As co-founder of AxeGenAI, he helps clients identify high-ROI GenAI use cases and designs scalable, sustainable Minimum Viable Products (MVPs).
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Career

Work history

6-2025
Applied AI Machine Learning Instructor
OnStak
10-2023 - 7-2025
Co-Founder, Decision Science Advisor For AI Machine Learning Development
AxeGenAI
4-2022 - 4-2023
ETL Consultant
Amazon Web Services (AWS)
6-2019 - 7-2025
Founder & CEO (COOPVA)
Stealth Startup
2-2019 - 12-2023
Artificial Intelligence Consultant
COOPVA
In the press

Media appearances

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Education
2016 - 2018
Master of Science - MS
Columbia University
2014 - 2016
Bachelor of Science - BS
Wilmington University
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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