Samuel Yang

Examiner
DISC Type : cs

Senior Machine Learning Engineer at Comcast

San Francisco Bay Area, United States

Overview

Samuel is a Senior Machine Learning Engineer and Graph DB expert at Comcast, where he develops mobile, server, and embedded software. With a background that includes work towards a PhD at UCLA and an MS from Rensselaer Polytechnic Institute, he specializes in architecting elegant solutions and building new frameworks.

His passion lies in solving difficult problems through software, and he considers writing new frameworks and APIs to be the “ultimate fun. ” He recently earned certifications in Neo4j and Flask, reflecting his continuous drive to master new technologies in the database and web development domains.

Unique fact: While at Echelon Corp, he was an architect and team lead who reported directly to the CTO and was a member of several standards groups, including OSGi and OBIX.

Personality Overview

Overcautious

Process Oriented

Unexpressive

The only way to convince them is by showing them examples and ample proof.  Being observant comes to them naturally. They are heavily focused on quality and prefer doing things the right way, even if it takes time.

Topics They Care About

Graph Databases
Identifies as a Graph DB expert and is a Neo4j Certified Professional, indicating deep expertise and a professional focus on this database technology.
Software Architecture
Expresses a strong passion for architecting elegant solutions and has held multiple architect and technical lead roles at companies like TiVo and Echelon Corp.
Mobile Development
Lists Android and J2ME as core specialties and has hands-on experience developing mobile software in his current role at Comcast.

Media Appearances

Samuel has no verified media appearances

Work History

Senior Machine Learning Engineer at Comcast
10-2007 - 1-2012
Lead Software Engineer at SEVEN Networks
10-2005 - 10-2007
MTS - Technical Lead at TiVo Inc.
4-2000 - 8-2005
Senior Software Engineer at Echelon Corp
Senior Software Architect at PeopleMover, Inc.

Education

1988 - 1995
Work towards PhD from UCLA
1982 - 1984
MS from Rensselaer Polytechnic Institute

More Information

Social Presence :

Prographics :

Exp : 11 Location : San Francisco Bay Area, United States Job Level : Middle Designation : Senior Machine Learning Engineer at Comcast
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Insights For Selling To Samuel

During A Call Or A Meeting

DO's

  • Expect them to be vague in response to your questions, ask firmly and pointedly
  • Spend time addressing concerns around risk and change, they will have them even if they don't express them
  • Ask them which other stakeholders would be important for this purchase decision

DONT's

  • Don't use phrases like 'do not worry', 'i promise' etc.
  • Avoid getting into storytelling mode, especially when they ask specific questions
  • Don't rely on relationship building even if they act pleasantly

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Samuel is

  • Proof of usage by others in the industry, case studies showing ROI are likely to work the best with them.
  • Will you ever get a clear answer from Samuel

  • They don’t say no often, they push out the decisions or keep going around in circles.

Insights For Deal Planning

    How fast (or slow) will Samuel move?

  • They are some of the slowest movers and take their time reaching decisions.
  • Can Samuel take some risk or not?

  • They have very low acceptance of risk even if they do not say it directly.

You And Samuel

Personality Compatibility


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