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Ryan C Lynch, 399 Sadie Cir, Easton, MA 02375

Ryan Lynch Phones & Addresses

9 Sadie Cir, South Easton, MA 02375   

North Easton, MA   

Port Saint Lucie, FL   

67 Moraine St, Brockton, MA 02301    508-5873547   

227 Center St, North Easton, MA 02356   

Work

Position: Sales/Service

Mentions for Ryan C Lynch

Career records & work history

Lawyers & Attorneys

Ryan Lynch Photo 1

Ryan Lynch - Lawyer

Office:
Latham & Watkins LLP
Specialties:
Securities Offerings, Securities Offerings
ISLN:
1000706108
Admitted:
2013
Law School:
Georgetown University Law Center, Doctor of Jurisprudence/Juris Doctor (J.D.), 2013

Medicine Doctors

Ryan J. Lynch

Specialties:
Neurology
Work:
LECOM Institute For Successful Aging
5535 Peach St STE 1200, Erie, PA 16509
814-8683488 (phone) 814-8683499 (fax)
Education:
Medical School
Lake Erie College of Osteopathic Medicine, Erie Campus
Graduated: 2003
Languages:
English, Spanish
Description:
Dr. Lynch graduated from the Lake Erie College of Osteopathic Medicine, Erie Campus in 2003. He works in Erie, PA and specializes in Neurology. Dr. Lynch is affiliated with LECOM Health Millcreek Community Hospital.

License Records

Ryan Lynch

Licenses:
License #: 70109140 - Active
Category: EMS Licensing
Issued Date: Jan 2, 2017
Expiration Date: Jun 30, 2018
Type: EMT-Basic

Publications & IP owners

Us Patents

Hybrid Platform For Content Delivery And Transcoding

US Patent:
2013011, May 9, 2013
Filed:
Nov 2, 2012
Appl. No.:
13/667267
Inventors:
Akamai Technologies Inc. - Cambridge MA, US
Ryan F. Lynch - San Marcos CA, US
Assignee:
AKAMAI TECHNOLOGIES INC. - Cambridge MA
International Classification:
G06F 15/16
US Classification:
709219
Abstract:
The subject matter herein generally relates to transcoding content, typically audio/video files though not limited to such, from one version to another in preparation for online streaming or other delivery to end users. Such transcoding may involve converting from one format to another (e.g., changing codecs or container formats), or creating multiple versions of an original source file in different bitrates, frame-sizes, or otherwise, to support distribution to a wide array of devices and to utilize performance-enhancing technologies like adaptive bitrate streaming. A transcoding platform is described herein that, in certain embodiments, leverages distributed computing techniques to transcode content in parallel across a platform of machines that are preferably idle or low-utilization resources of a content delivery network. The transcoding system also utilizes, in certain embodiments, improved techniques for segmenting the original source file so as to enable different segments to be sent to different machines for parallel transcodes.

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