Brian Cong

Collaborator
DISC Type : is

Machine Learning Engineer, Computer Vision at Hadrian

Culver City, California, United States

Overview

Brian is a Machine Learning and Computer Vision Engineer at Hadrian, dedicated to rebuilding Americas manufacturing sector. His expertise lies in developing advanced deep learning algorithms for industrial applications. He holds a Bachelor of Science from Eastern Michigan University and has co-authored research on activity classification using sensor data.

Outside of his primary technical focus, Brians interests include fencing and tabletop games. He has also worked as a fencing instructor, showcasing a commitment to teaching and sharing his passions with others.

Unique fact: Brian co-authored a published study on detecting daily human activities using accelerometer and gyroscope data, which has applications in digital biomarkers and disease monitoring.

Personality Overview

Appreciative

Good Listener

Example Driven

Unlike D or C types, they are calm as well as friendly and can give the impression of being more receptive than they actually are.  They are more likely to go for proven solutions. Win-win scenarios can appeal strongly to them.

Topics They Care About

US Manufacturing
Explicitly states his professional mission is to contribute to the rebuilding of America's manufacturing capabilities.
Computer Vision
This is his core professional function at both Hadrian and his previous role at Liberty Robotics, focusing on industrial and manufacturing applications.
Deep Learning
He guides deep learning algorithm development and has published research utilizing methods like LSTMs and vision transformers.

Media Appearances

Brian has no verified media appearances

Work History

10-2025
Machine Learning Engineer, Computer Vision at Hadrian
6-2024
Machine Learning Engineer at Liberty Robotics | Machine Vision AI
9-2023 - 12-2024
Teaching Assistant at Eastern Michigan University
12-2022 - 12-2023
Machine Learning Research Intern at Ann Arbor Algorithms

Education

9-2022 - 12-2024
Bachelor of Science - BS from Eastern Michigan University

More Information

Social Presence :

Prographics :

Exp : 3 Location : Culver City, California, United States Job Level : Junior Designation : Machine Learning Engineer, Computer Vision at Hadrian
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Insights For Selling To Brian

During A Call Or A Meeting

DO's

  • Take time to make them feel comfortable before getting to the main pitch
  • When asking them questions, sound relatable and informal
  • Show genuine interest in solving their problems

DONT's

  • Avoid unnecessary confrontation if it arises incidentally
  • Don’t give the impression of being unproven or risky
  • Don’t get into excessive details unless prompted

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Brian is

  • Relationship and rapport play a major role, followed by low risk and the presence of proof points.
  • Will you ever get a clear answer from Brian

  • They are diplomatic when the need arises; they hardly ever say a direct no.

Insights For Deal Planning

    How fast (or slow) will Brian move?

  • They can take their time to reach decisions, even while they stay engaged and friendly.
  • Can Brian take some risk or not?

  • They are unlikely to take many risks.

You And Brian

Personality Compatibility


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