We are your cultural GPS.

A&E's Modern Games LLC 's vision is to become a global leader in software development, leading the future with creativity.

Mission

To Move Culture

We help brands navigate culture to drive consistent impact through data driven insights.

The A&E's Modern Games LLC Team

Cisco Robinson
Cisco Robinson CEO & Founder
Cisco is the CEO and Founder of A&E's Modern Games LLC. Previously he served as a White House Threat Analyst under President Barack Obama. He also architected and deployed a first of it’s kind Data & Analytics program for Target.
Anna Hughes
Anna Hughes COO
Data, analytics & insights consultant with x10 years of experience in digital marketing advertising and brand. Former Director of Analytics at Scotch & Soda, and Anomaly before that.
Daniel Patton
Daniel Patton Founding Member. Business Development
Daniel served as a technical consultant at Deloitte, where he helped execute digital transformation strategies across multiple industries, including insurance, government, and hospitality.
Nouman Khan
Nouman Khan Principal Engineer
Nouman has pioneered Computer Vision and Data Science solutions for a variety of global organizations. For the past 7 years he has dedicated his time towards finding solutions for Health Care, Sports Analytics and the Insurance industries. Seeking a new challenge he has chosen A&E's Modern Games LLC, with the intent on building out an ethically sound ML vision.
Radek Grzeszczuk
Radek Grzeszczuk Chief Technical Advisor
Known for his pioneering work in holoportation at Microsoft and enhancing GPS mapping at Uber. His expertise spans LIDAR research at Nokia and neural network development at Intel. Radek holds a PhD from the University of Toronto and has primarily worked as a Principal engineer throughout his career.

Ahsan Akram
Ahsan Akram MLOps Engineer
Ahsan is a Senior MLOps Engineer with a Bachelor’s in Software Engineering and four years of specialized experience in Machine Learning, Python, and AWS Cloud operations. His expertise encompasses developing and deploying robust applications within Data Science, Computer Vision, NLP, and Data Mining, with a keen focus on innovation in MLOps and CNNs.

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