Samuel Yang in

Samuel Yang

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Senior Machine Learning Engineer at Comcast
📍 San Francisco Bay Area, United States

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.

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Experience
11 Years
Current Role
Senior Machine Learning Engineer
Job Level
Middle
Location
San Francisco Bay Area, United States
Personality Overview

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Priorities

Topics Samuel cares 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.
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Career

Work history

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

Media appearances

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Education
1988 - 1995
Work towards PhD
UCLA
1982 - 1984
MS
Rensselaer Polytechnic Institute
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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